CN113013916A - Power distribution network photovoltaic on-site consumption method based on energy block chain - Google Patents
Power distribution network photovoltaic on-site consumption method based on energy block chain Download PDFInfo
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Abstract
The embodiment of the invention provides a power distribution network photovoltaic on-site consumption method based on an energy block chain, which comprises the following steps: determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; and selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the time period after entering the next time period. The method provided by the embodiment of the invention realizes the purpose of fully considering the benefits and requirements of the power grid and all users, and timely adjusts the whole load operation scheme according to the power generation power of the photovoltaic power supply and the power grid fluctuation, so that the photovoltaic power supply is always in a higher consumption level, and the total cost of the operation of the power distribution network is lower.
Description
Technical Field
The invention relates to the technical field of photovoltaic consumption, in particular to a power distribution network photovoltaic on-site consumption method based on an energy block chain.
Background
The renewable energy is connected to the power distribution network in the form of distributed power supplies, which is an effective means for reducing energy pressure and protecting the environment, and the situation that the distributed power supplies are connected to the power distribution network is common. Photovoltaic power generation has relatively large development potential, so a large number of photovoltaic power supplies are installed in a plurality of power distribution networks, but the problem of the photovoltaic power supplies on site becomes a difficult problem.
At present, some researches aiming at local consumption of a distributed photovoltaic power supply access power distribution network exist at home and abroad, and the load operation condition of a whole network user is given by a currently adopted centralized optimization method through optimization calculation at a power grid level. However, the method does not consider the benefits and the requirements of the majority of users, and the optimization result is static and cannot deal with various random situations of the photovoltaic of the power distribution network.
Therefore, how to fully consider the benefits and requirements of the power grid and all users, and timely adjust the load operation scheme according to the photovoltaic power supply and the power grid fluctuation to ensure that the photovoltaic power supply is always at a higher consumption level is still a problem to be solved by technical staff in the field.
Disclosure of Invention
The embodiment of the invention provides a distribution network photovoltaic on-site consumption method based on an energy block chain, which is used for solving the problem that in the prior art, the benefits and requirements of a power grid and all users cannot be fully considered, and a load operation scheme is timely adjusted according to photovoltaic power supplies and power grid fluctuation to ensure that the photovoltaic power supplies are always at a higher consumption level.
In a first aspect, an embodiment of the present invention provides an energy block chain-based distribution network photovoltaic local absorption method, including:
determining load change curves of all users, determining output power curves of all photovoltaic power supplies, and determining local consumption ranges and near consumption ranges of all photovoltaic power supplies;
determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period;
and selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the time period after entering the next time period.
Preferably, in the method, the determining the clean energy consumption percentage and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the local consumption range specifically includes:
determining the total amount of the photovoltaic power supply energy consumed on the spot of each user and the total amount of the photovoltaic power supply energy consumed by each user in the current period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining the clean energy consumption ratio of each user in the current time period based on the total amount of the photovoltaic power supply energy consumed on site by each user in the current time period and the total amount of the photovoltaic power supply energy consumed by each user;
and determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period.
Preferably, in the method, the determining the clean energy consumption ratio of each user in the current period based on the total amount of the photovoltaic power energy consumed on site by each user in the current period and the total amount of the photovoltaic power energy consumed by each user in the current period specifically includes:
determining the clean energy consumption ratio m of the user i in the current time period according to the following formulai，
Wherein E isiFor the total amount of energy of the photovoltaic power supply consumed by the user i at the current time period, ECiThe total amount of the energy of the photovoltaic power supply is consumed for the user i at the current time period;
the determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period specifically comprises the following steps:
if the current time interval is the initial time interval, determining the consumption score eta of the user i in the initial time interval according to the following formulai，
Wherein m isiFor the initial period of time user i's clean energy consumption ratio, mjThe consumption ratio of clean energy of the user j in the initial period is obtained, and N is the total number of users in the power distribution network;
if the current time interval is not the initial time interval, the current time interval is the (n + 1) th time interval, and n is an integer greater than 0, the consumption score of the user i in the current time interval is determined according to the following formula
Wherein the content of the first and second substances,
for the consumption score, mu, of user i in the nth time period1To convert coefficient, mn+1 iFor the (n + 1) th time period user i's clean energy consumption ratio, mn+1 jThe consumption ratio of clean energy of the users j in the (N + 1) th time period is, and N is the total number of the users in the power distribution network.
Preferably, in the method, the determining the voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period specifically includes:
ranking each user based on the consumption score of each user in the current time period, wherein the higher the consumption score is, the higher the ranking is,
if the current time interval is the initial time interval, the voting weight coefficient lambda of the user i in the initial time intervaliComprises the following steps:
λi＝logN(N+1-j)
n is the total number of users in the power distribution network, and j is the ranking of the user i in the initial period;
if the current time interval is the (n + 1) th time interval and n is an integer greater than 0, the projection of the (n + 1) th time interval user i is determined according to the following formulaTicket weight coefficient
Wherein the content of the first and second substances,
voting weight coefficient j of user i in nth time intervaln+1Rank of the user i in the (N + 1) th time period, N is the total number of users in the power distribution network, mu2Is a conversion factor.
Preferably, in the method, the selecting an optimal consumption scheme in a next time period based on votes of users for the consumption schemes in a current time period and the voting weight coefficients of the users specifically includes:
determining a weighted total vote A of alternatives i in a next time periodiComprises the following steps:
where Ω is the set of users that select alternative i in the next time period, λjThe voting weight coefficient of the user j in the set omega;
the alternative with the highest weighted total ticket number is selected as the best solution in the next time period.
Preferably, the method further comprises:
the users with the highest consumption scores or who vote for the best consumption scheme receive a blockchain virtual token award.
Preferably, the method further comprises:
evaluating the operation benefit of the power distribution network;
evaluating the benefit of a user with computing power;
and evaluating the benefit of the ordinary user.
Preferably, in the method, the evaluating the operation benefit of the power distribution network specifically includes:
calculating the value of the overall optimization objective function of the power distribution network, wherein the overall optimization objective function of the power distribution network is represented by the following formula:
Wloss+Wope+Wblo
wherein, WlossFor loss of network, WopeFor operating the distribution network, WbloAwarding a fee for the blockchain virtual token;
the evaluating the benefit of the user with computing power specifically comprises:
calculating a calculation capacity user objective function value of a user having a calculation capacity, the calculation capacity user objective function being represented by the following formula:
wherein, Pre(t) photovoltaic power not consumed locally at time t, Pgrid(t) Power supplied by the distribution network at time t, Ploss(T) is the power loss of the electric energy generated in the network at the moment T, and T is the total duration of the current time period;
the evaluating the benefit of the common user specifically comprises the following steps:
calculating an ordinary user objective function value of an ordinary user, wherein the ordinary user objective function is expressed by the following formula:
Mj
wherein M isjThe amount of virtual token award for the blockchain obtained for the average user j.
In a second aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the steps of the power block chain-based distribution network photovoltaic in-situ consumption method according to the first aspect.
In a third aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the power block chain based distribution network photovoltaic in-situ consumption method as provided in the first aspect.
According to the photovoltaic local consumption method of the power distribution network based on the energy block chain, provided by the embodiment of the invention, the clean energy consumption ratio and the consumption score of all users in the current time period are determined based on the load change curve, the output power curve, the local consumption range and the nearby consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, the optimal consumption scheme in the next time period is selected, and after the next time period is entered, the optimal consumption scheme in the time period is implemented, namely, the consumption scheme in each time period is selected by the user voting in the previous time period, and the user voting considers the benefits of the users and also considers the factor influence of power grid fluctuation and photovoltaic power generation power through the voting weight coefficient, so that the load operation scheme can be dynamically adjusted in time. Therefore, the method provided by the embodiment of the invention realizes the purpose of fully considering the benefits and requirements of the power grid and all users, and timely adjusts the whole load operation scheme according to the power generation power of the photovoltaic power supply and the power grid fluctuation, so that the photovoltaic power supply is always in a higher consumption level, and the total cost of the operation of the power distribution network is lower.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below of the drawings required for the embodiments or the technical solutions in the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a power distribution network photovoltaic on-site consumption method based on an energy block chain according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a distribution network photovoltaic on-site absorption device based on an energy block chain according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The existing optimization method adopting centralized photovoltaic power consumption on site does not consider the benefits and requirements of vast users, and the optimization result is static and cannot deal with various random conditions of fluctuation of a power distribution network and power generation power change of the photovoltaic power. Therefore, the embodiment of the invention provides a distribution network photovoltaic local consumption method based on an energy block chain. Fig. 1 is a schematic flow chart of a method for photovoltaic local absorption of a power distribution network based on an energy block chain according to an embodiment of the present invention, as shown in fig. 1, the method includes:
and step 110, determining load change curves of all users, determining output power curves of all photovoltaic power supplies, and determining local consumption ranges and nearby consumption ranges of all photovoltaic power supplies.
Specifically, load change curves of all users are determined, namely, load change curves of all load points in the power distribution network in a typical day are established, load change curves of all users in each season are selected, the typical day corresponds to a typical day in each season, for example, the typical day in summer is sunrise at 6 am, insolation from ten am to four pm, and sunset at 7 pm at half a sunset, the load change curves generally show load change every half an hour, and the load change curves comprise specific information of time-shiftable loads, namely, load values change along with the time.
Determining output power of all photovoltaic power sourcesThe curve is that output power curves of all photovoltaic power supplies in the power distribution network in a typical day are established, typical days of all seasons are selected, the output power curve of the typical day of each photovoltaic power supply is counted, the typical day corresponds to the typical day of each season, for example, the typical day in summer is sunrise at 6 am, insolation is performed from ten am to four pm, and sunset at 7 pm is performed, and the output power curve shows output power change every half hour. The main factors affecting the output power of a photovoltaic power supply are the solar radiation intensity and temperature, without taking into account shading, the daily solar radiation intensity IdayOnly with respect to the relative position between the day and the ground, as shown in the following formula:
in the above formula, S0 is the solar constant, which is 1367W/m2(ii) a N denotes the order of the days, depending on the typical day selected.
Output power P of photovoltaic power supplydmThe calculation formula of (a) is as follows:
wherein, PstcIs under standard conditions (corresponding to the intensity of solar radiation I)stc＝1000W/m2Temperature Tstc25 ℃) the output power of the photovoltaic power supply; alpha is alphaTThe power temperature coefficient of the photovoltaic power supply is expressed in%/K; i isdayTypical solar radiation intensity in the unit of W/m2；TdmThe maximum temperature of the solar photovoltaic panel is given in degrees centigrade.
Determining the local absorption range of all photovoltaic power sources by the following formula:
NLCi＝∑Nim
wherein N isLCiIndicating the in-situ range of absorption, N, of the ith photovoltaic power supplyimFor participating in the mth load point of the local consumption of the ith photovoltaic power supply.
Determining the nearby consumption range of all photovoltaic power sources by the following formula:
max NNCi＝∑Nin
s.t.∑PNim＜PPVi
wherein N isNCiRepresenting the nearby range of consumption of the ith photovoltaic power source; n is a radical ofinRepresenting an nth load point participating in a nearby consumption of an ith photovoltaic power source; pNimIndicates the load point NimThe maximum value of the connected load is kW; pPViAnd the installed capacity of the ith photovoltaic power generation is expressed in kW.
And 120, determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range.
Specifically, according to the load change curve, the output power curve, the local consumption range and the nearby consumption range, the total amount of the consumed photovoltaic power supply energy and the total amount of the consumed photovoltaic power supply energy of each user can be determined, and then the clean energy consumption proportion and the consumption score of each user in the current time period are determined, wherein the clean energy consumption proportion is the proportion of the local consumed power supply energy in the power supply energy consumed by the users, the local consumption is also called as a clean utilization mode of energy because the utilization efficiency of electric energy is improved, the consumption score is obtained according to the clean energy consumption proportion, and the consumption score is higher when the clean energy consumption proportion of the users is higher.
And step 130, determining the voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period.
Specifically, the voting coefficient corresponding to each user is calculated according to the consumption score of each user, the higher the consumption score of the user is, the higher the corresponding voting coefficient is, and the higher the voting coefficient of the user is, the larger the voting value of the user obtained by the consumption scheme voted by the user is.
And step 130, selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the next time period after entering the next time period.
Specifically, the user selects a consumption scheme of the next time interval and votes for the scheme in consideration of the benefit brought to the user by the consumption scheme selected by the current time interval, when each alternative calculates the obtained vote value, the voting weight coefficient of the user corresponding to the vote is added to each accepted vote, the alternative with the highest obtained vote is the optimal consumption scheme of the next time interval, and after the next time interval is entered, the optimal consumption scheme is implemented.
According to the method provided by the embodiment of the invention, the clean energy consumption ratio and the consumption score of all users in the current time period are determined based on the load change curve, the output power curve, the local consumption range and the near consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, the optimal consumption scheme in the next time period is selected, and after the next time period is entered, the optimal consumption scheme in the time period is implemented, namely, the consumption scheme in each time period is selected by the user voting in the previous time period, and the user voting considers the benefits of the users and also considers the factor influence of power grid fluctuation and photovoltaic power generation power through the voting weight coefficient, so that the load operation scheme can be dynamically adjusted in time. Therefore, the method provided by the embodiment of the invention realizes the purpose of fully considering the benefits and requirements of the power grid and all users, and timely adjusts the whole load operation scheme according to the power generation power of the photovoltaic power supply and the power grid fluctuation, so that the photovoltaic power supply is always in a higher consumption level, and the total cost of the operation of the power distribution network is lower.
Based on the foregoing embodiment, in the method, the determining the clean energy consumption percentage and the consumption score of all users in the current time period based on the load variation curve, the output power curve, the local consumption range, and the local consumption range specifically includes:
determining the total amount of the photovoltaic power supply energy consumed on the spot of each user and the total amount of the photovoltaic power supply energy consumed by each user in the current period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining the clean energy consumption ratio of each user in the current time period based on the total amount of the photovoltaic power supply energy consumed on site by each user in the current time period and the total amount of the photovoltaic power supply energy consumed by each user;
and determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period.
Specifically, the total amount of the energy of the photovoltaic power supply consumed by each user in the current time period can be obtained according to the load change curve, and then the total amount of the energy of the photovoltaic power supply consumed in place by each user in the current time period can be obtained according to the output power curve, the local consumption range and the local consumption range; the method comprises the steps that the clean energy consumption ratio of a user in the current time period is the ratio of the total amount of photovoltaic power energy consumed by the user on the spot to the total amount of photovoltaic power energy consumed by the user in the current time period, the consumption score of each user is determined according to the clean energy consumption ratio of each user in the current time period, and the higher the clean energy consumption ratio of the user is, the higher the consumption score is.
Based on any one of the embodiments, in the method, determining the clean energy consumption ratio of each user in the current period based on the total amount of the photovoltaic power energy consumed on site by each user in the current period and the total amount of the photovoltaic power energy consumed by each user specifically includes:
determining the clean energy consumption ratio m of the user i in the current time period according to the following formulai，
Wherein E isiFor the total amount of energy of the photovoltaic power supply consumed by the user i at the current time period, ECiThe total amount of the energy of the photovoltaic power supply is consumed for the user i at the current time period;
the determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period specifically comprises the following steps:
if the current time interval is the initial time interval, determining the consumption score eta of the user i in the initial time interval according to the following formulai，
Wherein m isiFor the initial period of time user i's clean energy consumption ratio, mjThe consumption ratio of clean energy of the user j in the initial period is obtained, and N is the total number of users in the power distribution network;
if the current time interval is not the initial time interval, the current time interval is the (n + 1) th time interval, and n is an integer greater than 0, the consumption score of the user i in the current time interval is determined according to the following formula
Wherein the content of the first and second substances,
for the consumption score, mu, of user i in the nth time period1To convert coefficient, mn+1 iFor the (n + 1) th time period user i's clean energy consumption ratio, mn+1 jThe consumption ratio of clean energy of the users j in the (N + 1) th time period is, and N is the total number of the users in the power distribution network.
Specifically, the clean energy consumption ratio of the user in the current period can be obtained by the following formula,
wherein E isiFor the total amount of energy of the photovoltaic power supply consumed by the user i at the current time period, ECiThe total amount of the energy of the photovoltaic power supply is consumed for the user i at the current time period;
when calculating the consumption time of each user in the current time interval, whether the current time interval is an initial time interval or a non-initial time interval needs to be considered, if the current time interval is the initial time interval, the consumption time eta of the user i is calculated by the following formulai，
Wherein m isiFor the initial period of time user i's clean energy consumption ratio, mjThe consumption ratio of clean energy of the user j in the initial period is obtained, and N is the total number of users in the power distribution network;
if the current time interval is a non-initial time interval, the consumption score of the current time interval is accumulated to the current time interval after the consumption score of the user in the previous time interval is converted, the current time interval is the (n + 1) th time interval, n is an integer greater than 0, and the consumption score of the user i in the current time interval is determined according to the following formula
Wherein the content of the first and second substances,
for the consumption score, mu, of user i in the nth time period1To convert coefficient, mn+1 iFor the (n + 1) th time period user i's clean energy consumption ratio, mn+1 jThe consumption ratio of clean energy of the users j in the (N + 1) th time period is, and N is the total number of the users in the power distribution network.
Based on any one of the embodiments, in the method, determining the voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period specifically includes:
ranking each user based on the consumption score of each user in the current time period, wherein the higher the consumption score is, the higher the ranking is,
if the current time interval is the initial time interval, the voting weight coefficient lambda of the user i in the initial time intervaliComprises the following steps:
λi＝logN(N+1-j)
n is the total number of users in the power distribution network, and j is the ranking of the user i in the initial period;
if the current time interval is the (n + 1) th time interval and n is an integer greater than 0, determining the voting weight coefficient of the user i in the (n + 1) th time interval according to the following formula
Wherein the content of the first and second substances,
voting weight coefficient j of user i in nth time intervaln+1Rank of the user i in the (N + 1) th time period, N is the total number of users in the power distribution network, mu2Is a conversion factor.
Specifically, the voting weight coefficient of each user in the current time interval is calculated by considering whether the current time interval is the initial time interval or the non-initial time interval,
if the current time interval is the initial time interval, the voting weight coefficient lambda of the user i in the initial time intervaliComprises the following steps:
λi＝logN(N+1-j)
n is the total number of users in the power distribution network, and j is the ranking of the user i in the initial period;
if the current time interval is a non-initial time interval, the voting weight coefficient of the user in the current time interval is accumulated to the current time interval after the voting weight coefficient of the user in the previous time interval is converted, if the current time interval is the (n + 1) th time interval, n is an integer greater than 0, the voting weight coefficient of the user i in the (n + 1) th time interval is determined according to the following formula
Wherein the content of the first and second substances,
voting weight coefficient j of user i in nth time intervaln+1Rank of the user i in the (N + 1) th time period, N is the total number of users in the power distribution network, mu2Is a conversion factor.
Based on any of the above embodiments, in the method, the selecting an optimal consumption scheme in a next time period based on votes of users for the consumption scheme and the voting weight coefficients of the users in the current time period specifically includes:
determining a weighted total vote A of alternatives i in a next time periodiComprises the following steps:
where Ω is the set of users that select alternative i in the next time period, λjThe voting weight coefficient of the user j in the set omega;
the alternative with the highest weighted total ticket number is selected as the best solution in the next time period.
Specifically, after voting by the user, the weighted total vote number of each alternative, namely the weighted total vote number A of the alternative i, is countediComprises the following steps:
where Ω is the set of users that select alternative i in the next time period, λjIs the voting weight coefficient for user j in set omega.
And selecting the alternative scheme with the highest weighted total ticket number as the optimal consumption scheme in the next time period, wherein the optimal consumption scheme in the next time period is used for appointing the local consumption range and the near consumption range of each photovoltaic power supply in the power distribution network.
Based on any one of the above embodiments, the method further includes:
the users with the highest consumption scores or who vote for the best consumption scheme receive a blockchain virtual token award.
Specifically, the user awards the block chain virtual token with the highest acceptance score or awards the block chain virtual token for the user voting the optimal acceptance scheme, and after obtaining the reward of the block chain virtual token in the current time period, the user considers that the acceptance scheme adopted in the current time period is beneficial to the user, so that when the user votes and selects the acceptance scheme in the next time period, the user considers which acceptance schemes are adopted in the historical experience to enable the user to obtain the block chain virtual token, and further considers the acceptance schemes as voting objects.
Preferably, the virtual token of the block chain obtained by the user is converted into electric energy of the photovoltaic power source which can be exchanged and then is distributed to the user as a reward. Photovoltaic power supply electric energy E capable of being exchanged and obtained by user iiComprises the following steps:
Ei＝aEli+bEni+cEgi
wherein E isliThe amount of photovoltaic power consumed in situ during the corresponding time period that user i is granted a blockchain virtual token; eniPhotovoltaic power supply capacity to be consumed just before a corresponding time period for which user i is granted a blockchain virtual token, EgiThe power supply amount is provided for the power distribution network used by the user i; a, b and c are coefficients, a>b>c, and a + b + c is 1.
Based on any one of the above embodiments, the method further includes:
evaluating the operation benefit of the power distribution network;
evaluating the benefit of a user with computing power;
and evaluating the benefit of the ordinary user.
Specifically, in the process of automatically and continuously making a consumption scheme for the next time period, the operation benefit of the power grid in each time period and the benefit of various users need to be additionally evaluated. The users with the computing power can dynamically adjust the self time-shifting load power according to the power generation change of the photovoltaic power supply and transmit the self adjustment condition to the whole network, and the common users cannot dynamically adjust the self time-shifting load power according to the power generation change of the photovoltaic power supply.
In accordance with any of the above embodiments, in the method,
the evaluation of the operation benefit of the power distribution network specifically comprises the following steps:
calculating the value of the overall optimization objective function of the power distribution network, wherein the overall optimization objective function of the power distribution network is represented by the following formula:
Wloss+Wope+Wblo
wherein, WlossFor loss of network, WopeFor operating the distribution network, WbloAwarding a fee for the blockchain virtual token;
the evaluating the benefit of the user with computing power specifically comprises:
calculating a calculation capacity user objective function value of a user having a calculation capacity, the calculation capacity user objective function being represented by the following formula:
wherein, Pre(t) photovoltaic power not consumed locally at time t, Pgrid(t) Power supplied by the distribution network at time t, Ploss(T) is the power loss of the electric energy generated in the network at the moment T, and T is the total duration of the current time period;
the evaluating the benefit of the common user specifically comprises the following steps:
calculating an ordinary user objective function value of an ordinary user, wherein the ordinary user objective function is expressed by the following formula:
Mj
wherein M isjThe amount of virtual token award for the blockchain obtained for the average user j.
Based on any one of the above embodiments, an embodiment of the present invention provides an energy block chain-based distribution network photovoltaic in-situ consumption device, and fig. 2 is a schematic structural diagram of the energy block chain-based distribution network photovoltaic in-situ consumption device provided in the embodiment of the present invention. As shown in fig. 2, the apparatus includes a determination unit 210, a consumption unit 220, a coefficient unit 230, and a voting unit 230, wherein,
the determining unit 210 is configured to determine load change curves of all users in the current time period, determine output power curves of all photovoltaic power supplies in the current time period, and determine an in-situ consumption range and an adjacent consumption range of the photovoltaic power supplies in the current time period;
the consumption unit 220 is configured to determine the clean energy consumption percentage and the consumption score of all users in the current time period based on the load variation curve, the output power curve, the local consumption range and the local consumption range;
the coefficient unit 230 is configured to determine a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period;
the voting unit 230 is configured to select the best consumption scheme in the next time period based on the votes of the users for the consumption schemes in the current time period and the voting weight coefficients of the users, and implement the best consumption scheme in the next time period after entering the next time period.
The device provided by the embodiment of the invention determines the consumption proportion and the consumption score of the clean energy of all users in the current time period by based on the load change curve, the output power curve, the local consumption range and the near consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, the optimal consumption scheme in the next time period is selected, and after the next time period is entered, the optimal consumption scheme in the time period is implemented, namely, the consumption scheme in each time period is selected by the user voting in the previous time period, and the user voting considers the benefits of the users and also considers the factor influence of power grid fluctuation and photovoltaic power generation power through the voting weight coefficient, so that the load operation scheme can be dynamically adjusted in time. Therefore, the device provided by the embodiment of the invention realizes the purpose of fully considering the benefits and requirements of the power grid and all users, and timely adjusts the whole load operation scheme according to the power generation power of the photovoltaic power supply and the power grid fluctuation, so that the photovoltaic power supply is always in a higher consumption level, and the total cost of the operation of the power distribution network is lower.
In the apparatus according to any of the above embodiments, the digestion unit is, in particular,
determining the total amount of the photovoltaic power supply energy consumed on the spot of each user and the total amount of the photovoltaic power supply energy consumed by each user in the current period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining the clean energy consumption ratio of each user in the current time period based on the total amount of the photovoltaic power supply energy consumed on site by each user in the current time period and the total amount of the photovoltaic power supply energy consumed by each user;
and determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period.
Based on any one of the above embodiments, in the apparatus, determining the clean energy consumption ratio of each user at the current time period based on the total amount of the photovoltaic power energy consumed on site by each user at the current time period and the total amount of the photovoltaic power energy consumed by each user at the current time period specifically includes:
determining the clean energy consumption ratio m of the user i in the current time period according to the following formulai，
Wherein E isiFor the total amount of energy of the photovoltaic power supply consumed by the user i at the current time period, ECiThe total amount of the energy of the photovoltaic power supply is consumed for the user i at the current time period;
the determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period specifically comprises the following steps:
if the current time interval is the initial time interval, determining the consumption score eta of the user i in the initial time interval according to the following formulai，
Wherein m isiFor the initial period of time user i's clean energy consumption ratio, mjThe consumption ratio of clean energy of the user j in the initial period is obtained, and N is the total number of users in the power distribution network;
if the current time interval is not the initial time interval, the current time interval is the (n + 1) th time interval, and n is an integer greater than 0, the consumption score of the user i in the current time interval is determined according to the following formula
Wherein the content of the first and second substances,
for the consumption score, mu, of user i in the nth time period1To convert coefficient, mn+1 iFor the (n + 1) th time period user i's clean energy consumption ratio, mn+1 jThe consumption ratio of clean energy of the users j in the (N + 1) th time period is, and N is the total number of the users in the power distribution network.
Based on any one of the embodiments, in the apparatus, the determining, based on the consumption score of each user in the current time period, a voting weight coefficient of each user in the current time period specifically includes:
ranking each user based on the consumption score of each user in the current time period, wherein the higher the consumption score is, the higher the ranking is,
if the current time interval is the initial time interval, the voting weight coefficient lambda of the user i in the initial time intervaliComprises the following steps:
λi＝logN(N+1-j)
n is the total number of users in the power distribution network, and j is the ranking of the user i in the initial period;
if the current time interval is the (n + 1) th time interval and n is an integer greater than 0, determining the voting weight coefficient of the user i in the (n + 1) th time interval according to the following formula
Wherein the content of the first and second substances,
voting weight coefficient j of user i in nth time intervaln+1Rank of the user i in the (N + 1) th time period, N is the total number of users in the power distribution network, mu2Is a conversion factor.
Based on any one of the above embodiments, in the apparatus, the selecting an optimal consumption scheme in a next time period based on the votes of the users for the consumption schemes in the current time period and the voting weight coefficients of the users specifically includes:
determining a weighted total vote A of alternatives i in a next time periodiComprises the following steps:
where Ω is the set of users that select alternative i in the next time period, λjThe voting weight coefficient of the user j in the set omega;
the alternative with the highest weighted total ticket number is selected as the best solution in the next time period.
Based on the above embodiment, the device further comprises a reward unit,
the reward unit is used for awarding the block chain virtual token for the user with the highest consumption score or the user voting for the optimal consumption scheme.
Based on the above embodiment, the device further comprises an evaluation unit,
the evaluation unit is used for evaluating the operation benefit of the power distribution network, evaluating the benefit of users with computing power and evaluating the benefit of common users.
Based on the above embodiment, in the apparatus, the evaluating the operation benefit of the power distribution network specifically includes:
calculating the value of the overall optimization objective function of the power distribution network, wherein the overall optimization objective function of the power distribution network is represented by the following formula:
Wloss+Wope+Wblo
wherein, WlossFor loss of network, WopeFor operating the distribution network, WbloAwarding a fee for the blockchain virtual token;
the evaluating the benefit of the user with computing power specifically comprises:
calculating a calculation capacity user objective function value of a user having a calculation capacity, the calculation capacity user objective function being represented by the following formula:
wherein, Pre(t) photovoltaic power not consumed locally at time t, Pgrid(t) Power supplied by the distribution network at time t, Ploss(T) is the power loss of the electric energy generated in the network at the moment T, and T is the total duration of the current time period;
the evaluating the benefit of the common user specifically comprises the following steps:
calculating an ordinary user objective function value of an ordinary user, wherein the ordinary user objective function is expressed by the following formula:
Mj
wherein M isjThe amount of virtual token award for the blockchain obtained for the average user j.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor (processor)301, a communication Interface (communication Interface)302, a memory (memory)303 and a communication bus 304, wherein the processor 301, the communication Interface 302 and the memory 303 complete communication with each other through the communication bus 304. The processor 301 may call a computer program stored on the memory 303 and executable on the processor 301 to perform the method for photovoltaic local absorption of the power distribution network based on the energy block chain provided by the above embodiments, for example, the method includes: determining load change curves of all users, determining output power curves of all photovoltaic power supplies, and determining local consumption ranges and near consumption ranges of all photovoltaic power supplies; determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; and selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the time period after entering the next time period.
In addition, the logic instructions in the memory 303 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the method for photovoltaic local absorption of a power distribution network based on an energy block chain provided in the foregoing embodiments when executed by a processor, for example, the method includes: determining load change curves of all users, determining output power curves of all photovoltaic power supplies, and determining local consumption ranges and near consumption ranges of all photovoltaic power supplies; determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range; determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period; and selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the time period after entering the next time period.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A distribution network photovoltaic local consumption method based on an energy block chain is characterized by comprising the following steps:
determining load change curves of all users, determining output power curves of all photovoltaic power supplies, and determining local consumption ranges and near consumption ranges of all photovoltaic power supplies;
determining the clean energy consumption ratio and the consumption score of all users in the current time period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining a voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period;
and selecting the optimal consumption scheme in the next time period based on the voting of each user to the consumption scheme in the current time period and the voting weight coefficient of each user, and implementing the optimal consumption scheme in the time period after entering the next time period.
2. The energy block chain-based distribution network photovoltaic local consumption method according to claim 1, wherein the determining clean energy consumption occupation ratios and consumption scores of all users in the current time period based on the load variation curve, the output power curve, the local consumption range and the local consumption range specifically comprises:
determining the total amount of the photovoltaic power supply energy consumed on the spot of each user and the total amount of the photovoltaic power supply energy consumed by each user in the current period based on the load change curve, the output power curve, the local consumption range and the nearby consumption range;
determining the clean energy consumption ratio of each user in the current time period based on the total amount of the photovoltaic power supply energy consumed on site by each user in the current time period and the total amount of the photovoltaic power supply energy consumed by each user;
and determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period.
3. The energy block chain-based distribution network photovoltaic local consumption method according to claim 2, wherein the determining the clean energy consumption ratio of each user in the current period based on the total amount of the local consumption photovoltaic power supply energy of each user in the current period and the total amount of the consumption photovoltaic power supply energy of each user specifically comprises:
determining the clean energy consumption ratio m of the user i in the current time period according to the following formulai，
Wherein E isiFor the total amount of energy of the photovoltaic power supply consumed by the user i at the current time period, ECiThe total amount of the energy of the photovoltaic power supply is consumed for the user i at the current time period;
the determining the consumption score of each user in the current time period based on the clean energy consumption ratio of each user in the current time period specifically comprises the following steps:
if the current time interval is the initial time interval, determining the consumption score eta of the user i in the initial time interval according to the following formulai，
Wherein m isiFor the initial period of time user i's clean energy consumption ratio, mjThe ratio of clean energy consumption of the user j in the initial period, and N is the use in the power distribution networkThe total number of users;
if the current time interval is not the initial time interval, the current time interval is the (n + 1) th time interval, and n is an integer greater than 0, the consumption score of the user i in the current time interval is determined according to the following formula
Wherein the content of the first and second substances,
for the consumption score, mu, of user i in the nth time period1To convert coefficient, mn+1 iFor the (n + 1) th time period user i's clean energy consumption ratio, mn+1 jThe consumption ratio of clean energy of the users j in the (N + 1) th time period is, and N is the total number of the users in the power distribution network.
4. The energy block chain-based distribution network photovoltaic local consumption method according to claim 1, wherein the determining of the voting weight coefficient of each user in the current time period based on the consumption score of each user in the current time period specifically comprises:
ranking each user based on the consumption score of each user in the current time period, wherein the higher the consumption score is, the higher the ranking is,
if the current time interval is the initial time interval, the voting weight coefficient lambda of the user i in the initial time intervaliComprises the following steps:
λi＝logN(N+1-j)
n is the total number of users in the power distribution network, and j is the ranking of the user i in the initial period;
if the current time interval is the (n + 1) th time interval and n is an integer greater than 0, determining the voting weight coefficient of the user i in the (n + 1) th time interval according to the following formula
Wherein the content of the first and second substances,
voting weight coefficient j of user i in nth time intervaln+1Rank of the user i in the (N + 1) th time period, N is the total number of users in the power distribution network, mu2Is a conversion factor.
5. The energy block chain-based distribution network photovoltaic local consumption method of claim 1, wherein the selecting the optimal consumption scheme in the next time period based on the votes of the users for the consumption scheme in the current time period and the voting weight coefficients of the users specifically comprises:
determining a weighted total vote A of alternatives i in a next time periodiComprises the following steps:
where Ω is the set of users that select alternative i in the next time period, λjThe voting weight coefficient of the user j in the set omega;
the alternative with the highest weighted total ticket number is selected as the best solution in the next time period.
6. The energy block chain based distribution network photovoltaic on-site consumption method according to any one of claims 1-5, further comprising:
the users with the highest consumption scores or who vote for the best consumption scheme receive a blockchain virtual token award.
7. The energy block chain based distribution network photovoltaic local absorption method according to claim 6, further comprising:
evaluating the operation benefit of the power distribution network;
evaluating the benefit of a user with computing power;
and evaluating the benefit of the ordinary user.
8. The energy block chain based distribution network photovoltaic on-site consumption method of claim 7,
the evaluation of the operation benefit of the power distribution network specifically comprises the following steps:
calculating the value of the overall optimization objective function of the power distribution network, wherein the overall optimization objective function of the power distribution network is represented by the following formula:
Wloss+Wope+Wblo
wherein, WlossFor loss of network, WopeFor operating the distribution network, WbloAwarding a fee for the blockchain virtual token;
the evaluating the benefit of the user with computing power specifically comprises:
calculating a calculation capacity user objective function value of a user having a calculation capacity, the calculation capacity user objective function being represented by the following formula:
wherein, Pre(t) photovoltaic power not consumed locally at time t, Pgrid(t) Power supplied by the distribution network at time t, Ploss(T) is the power loss of the electric energy generated in the network at the moment T, and T is the total duration of the current time period;
the evaluating the benefit of the common user specifically comprises the following steps:
calculating an ordinary user objective function value of an ordinary user, wherein the ordinary user objective function is expressed by the following formula:
Mj
wherein M isjBlocks obtained for general user jChain virtual token award amounts.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the power block chain based distribution network photovoltaic in-situ consumption method according to any of claims 1-8.
10. A non-transitory computer readable storage medium, having stored thereon a computer program, wherein the computer program, when being executed by a processor, implements the steps of the method for energy block chain based distribution network photovoltaic in-situ consumption according to any of the claims 1-8.
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| CN105515058A (en) * | 2015-12-24 | 2016-04-20 | 东南大学 | Photovoltaic power generation participant power local consumption method |
| US20170285720A1 (en) * | 2017-05-07 | 2017-10-05 | Jigar Jayesh Shah | Method and system for mitigating transmission congestion via distributed computing and blockchain technology |
| CN108711077A (en) * | 2018-05-25 | 2018-10-26 | 电子科技大学 | A kind of photovoltaic type micro-capacitance sensor method of commerce based on block chain technology |
| CN109672215A (en) * | 2018-11-20 | 2019-04-23 | 中国农业大学 | Based on load can time shift characteristic distributed photovoltaic dissolve control method |
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