CN104050516A - Fair and orderly electricity utilization method based on user interaction ability - Google Patents

Abstract

The invention discloses a fair and orderly electricity utilization method based on user interaction ability. The method comprises the following steps that A, whether each user participates in orderly electricity utilization or not is determined according to the times that the users participate in orderly electricity utilization; B, fine classification is conducted on the users who participate in orderly electricity utilization, and a constraint condition is added; C, with the purpose that the user side total cost is minimum, an electricity utilization curvilinear module and a constraint condition are added into an orderly electricity utilization module, and orderly electricity utilization planning calculation is conducted; D, an orderly electricity utilization planning result is analyzed, whether a feasible solution can be obtained or not is judged, the step E is executed if the feasible solution is obtained, and the step F is executed if the feasible solution can not be obtained; E, the day orderly electricity utilization planning is quitted, and the secondary orderly electricity utilization planning is entered in; F, according to the times that the users participate in orderly electricity utilization, multiple user constraints are added in the planning module, and the step B is executed again. According to the fair and orderly electricity utilization method based on user interaction ability, the electricity utilization rate can be improved, resource allocation is optimized, and the safety of power grid operation is improved.

Description

A kind of fair ordered electric method based on user interaction ability

Technical field

The present invention relates to power domain, relate in particular to a kind of fair ordered electric method based on user interaction ability.

Background technology

In recent years, along with China's economic sane development at full speed, Analyzing Total Electricity Consumption is growing, and electrical network usually faces the problem of peak time electric power supply deficiency, becomes the bottleneck of restriction China's economic sustained and rapid development.In this case, ordered electric becomes the Important Action of alleviating network load peak time power shortage situation.As Guo Lianzhe, Tan Zhongfu, Li Xiaojun are being published in described in " tou power price under responding based on user designs a model an and method " literary composition of " electric power network technique " for 2006, ordered electric can reduce electric load peak-valley difference, promotes assets of generating electricity utilization factor, improve operation of power networks efficiency.

If Zhou Jie is described in " research of County Power Plant ordered electric " literary composition of delivering for 2011, the mode that ordered electric is conventional comprises peak load cutting and uses electricity in off-peak hours.Peak load cutting is according to network load, by administration, technology, emergency control means, electrical network sub-load peak period is cut down, thereby ensures power grid security in rush hour; And use electricity in off-peak hours be by peak period sub-load transfer to the low power consumption period, thereby improve utilization rate of electrical, optimize allocation of resources, improve the security of operation of power networks.

Aspect ordered electric, existing correlative study both at home and abroad.Document (Song Caihua, Wang Yongcai, Lan Yuanjuan, etc. the ordered electric management review [J] based on the load Analysis of avoiding the peak hour. Chinese electric industry, 2013 (11)) analyzed the reason of electricity shortage, the dynamics of avoiding the peak hour of quick and precisely calculating the user that avoids the peak hour is provided; Document (Liu Jian, Wang Shuanhu, bright posivtive spike. the generation [J] of the optimum plan of avoiding the peak hour in Demand-side load management. Automation of Electric Systems, 2006,30 (8): 47-51) during taking affected family number minimum be target, adopt genetic algorithm calculate the best plan of avoiding the peak hour; Document (Dong Bo, open particle, Cheng Yu, Deng. Initial Stages of Electricity Market electric company optimizes the research [J] of peak shifting and averting plan. relay, 2006,34 (13): 72-76) taking the profit minimum of the wrong peak averting plan of electric company as target, consider network loss simultaneously, utilized improved genetic algorithm to obtain optimum wrong peak averting plan.

The intension that the ordered electric of science comprises following two aspects:

(1) under the prerequisite at minimizing ordered electric, the normal productive life of user being affected, the interaction capability of digging user as far as possible.Past, operation of power networks department usually solves short of electricity problem in simple power cuts to limit consumption mode, power cuts to limit consumption means, gradually from a kind of emergency measure, develop into habitual normal running, and this disagrees with the aim of " providing safe, continuous and economic electric energy to user ".Current ordered electric is conventionally assigned and implements in the mode of administrative decree, meticulous not to the consideration of user power utilization behavior, and power cuts to limit consumption is the load of cutting down user simple and crudely.Therefore, need badly user is carried out to sophisticated category and modeling, to user power utilization, behavior is analyzed.

(2) ensureing that, under the prerequisite of safe operation of electric network, lifting user participates in the fairness of ordered electric.After existing ordered electric solution formulation, according to mains supply breach size, carry out corresponding ordered electric prediction scheme.This forward user that makes to sort in ordered electric scheme participates in ordered electric continually, and these users' normal productive life is affected greatly.And within cycle regular hour (as monthly or all), allow user participate in turn ordered electric, will reduce the impact having a power failure on user.Therefore, how in longer time scale, reducing the number of times of unique user participation ordered electric, take into account the fairness between user, is problem demanding prompt solution.

Summary of the invention

The object of this invention is to provide a kind of fair ordered electric method based on user interaction ability, can consider that user adjusts cost, takes into account repeatedly the fairness of user in ordered electric, optimize existing ordered electric scheme, make all users as far as possible balancedly participate in optimizing and revising, ensure that user enjoys safe, continuous and economic electric energy; Meanwhile, ordered electric can reduce electric load peak-valley difference, promote assets of generating electricity utilization factor and operation of power networks efficiency, thereby improves utilization rate of electrical, optimizes allocation of resources, and improves the security of operation of power networks.

The present invention adopts following technical proposals:

Based on a fair ordered electric method for user interaction ability, it is characterized in that, comprise the following steps:

A: participate in the number of times of ordered electric according to user, determine respectively whether each user participates in ordered electric;

B: to participating in the user of ordered electric, the workload demand of declaring according to this user classification that becomes more meticulous, this user is divided into rigidity user, translating type user, multi-mode type user or flexible type user, and adds respectively constraint condition according to user type;

Rigidity user, the workload demand that refers to this user is rigidity, can be with the electricity consumption behavior of this user's whole day of fixing curve description; In electricity consumption curve model, rigidity user's load is considered to known constant;

Translating type user, refers to that this user has relatively-stationary production procedure, the figurate electricity consumption curve of tool, but be flexibly to the selection that starts the electricity consumption period; In process of production, if translating type user start, need to devote oneself to work according to its fixing electricity consumption curve, therefore can select the suitable load curve with electrical initiation period, such user of translation, in the function that ensures that under the prerequisite that user's whole day power consumption is constant, realization is avoided the peak hour, the object that reaches smoothing system load curve, minimizing transformer station short of electricity amount, translating type user's electricity consumption curve model is:

$D_{k,t}=\underset{\mathrm{\τ}=1}{\overset{W_k}{\mathrm{\Σ}}}{D}_k\left(\mathrm{\τ}\right){\mathrm{\α}}_{k,t-\mathrm{\τ}+1},k=\mathrm{1,2}...N_S,t=\mathrm{1,2},...T---\left(1\right)$

Wherein, D _k,tit is the electricity consumption level in k position translating type user t moment; W _kit is k position translating type user's the electricity consumption curve duration; α _{k, t-τ+1}for 0-1 decision variable, represent whether k position translating type user selects the t moment as the initial electricity consumption moment, 1 represents to select, and 0 represents not select; N _sfor translating type user's number; T is period number;

Multi-mode type user, refers to that this user has in actual electric network multiple with power mode, and can between different mode, switch flexibly according to the actual requirements in the works a few days ago; For multi-mode type user, because can tending to select certain under unconfined condition, consumption habit uses power mode, if but can make up multi-mode type user's mode adjustment cost, can make such user overcome consumption habit, change electricity consumption curve, thereby reduce the peak of power consumption need for electricity in period, make the electrical network operation of safety economy more; Multi-mode type user's electricity consumption curve model is:

$D_{k,t}=\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{D}_{k,m,t}{\mathrm{\α}}_{k,m},k=\mathrm{1,2}...N_M,t=\mathrm{1,2},...T---\left(2\right)$

Wherein, D _k,tit is the k position electricity consumption level in multi-mode type user t moment; D _{k, m, t}be that k position multi-mode type user's m kind power mode is in the need for electricity of moment t; M _kit is k position multi-mode type user's electricity consumption model number; α _k,mfor 0-1 decision variable, represent whether k position multi-mode type user selects electricity consumption mode m, 1 represents to select, and 0 represents not select; N _mfor multi-mode type user's number; T is period number;

Flexible type user, refers to the user that electricity consumption curve can flexible; For flexible type user, because each period need for electricity adjusting is comparatively flexible, carry out electricity consumption constraint according to following five aspects:

1) the minimum electricity consumption time-constrain continuously of user

Due to Once you begin electricity consumption of certain customers, just must meet the minimum constraint condition of electricity consumption time continuously, the minimum electricity consumption time-constrain continuously of user is:

$\underset{\mathrm{\τ}=t-{T_k}^u}{\overset{t-1}{\mathrm{\Σ}}}{v}_{k,\mathrm{\τ}}-(v_{k,t-1}-v_{k,t}){T_k}^u\≥0,k=\mathrm{1,2},...N_F,t=\mathrm{1,2},...T---\left(3\right)$

Wherein, T _k ^uit is k position flexible type user's the continuous electricity consumption time of minimum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

2) the maximum power off time continuously of user constraint

User's production equipment needs cooling conventionally, its cooling utility appliance power-off a period of time at most continuously, if power-off time exceedes this restriction, may cause main process equipment wearing and tearing to increase and even damage production equipment.Therefore, the maximum power off time continuously of user is constrained to:

$\underset{\mathrm{\τ}=t-{T_k}^d-1}{\overset{t-1}{\mathrm{\Σ}}}\left({1-v}_{k,\mathrm{\τ}}\right){\≤T_k}^d,k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(4\right)$

Wherein, T _k ^dit is k position flexible type user's the continuous power off time of maximum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

3) user's whole day power consumption constraint

Because there is clear and definite requirement in certain customers to daily power consumption, must obtain specified value every day or more electric weight just can complete production requirement, for this reason, being constrained to of user's whole day power consumption:

$\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{D}_{k,t}\≥E_k,k=\mathrm{1,2}...N_F---\left(5\right)$

Wherein: D _k,tit is the k position electricity consumption level in flexible type user t moment; E _kit is the minimum power consumption of k position flexible type user whole day; N _ffor flexible type number of users; T is period number;

4) user power utilization power changes rate constraint

There is certain requirement because certain customers change speed to electric power, therefore need to ensure that electric power changes speed and keeps within the specific limits.Be similar to generator climbing constraint, certain customers change speed to electric power certain requirement, need to ensure that electric power changes speed and keeps within the specific limits.For example, the air-conditioning system in intelligent building, within room temperature keeps certain comfort level time, temperature control system can make the electric power of air-conditioning system change, but can not make air-conditioning system change too quickly power, otherwise room temperature cannot keep relatively constant.Therefore,, for the user of this part, its electric power changes being constrained to of speed:

D _k,t-D _k,t-1≤R _k ^u,k＝1,2...N _F,t＝1,2...T (6)

D _k,t-1-D _k,t≤R _k ^d,k＝1,2...N _F,t＝1,2...T (7)

In formula: D _k,tit is the k position electricity consumption level in flexible type user t moment; R _k ^ube k position flexible type user's increase electric power rate limit, R _k ^dit is k position flexible type user's minimizing electric power rate limit; N _ffor flexible type number of users; T is period number;

5) user's minimax electric power constraint

Because user has the restriction of minimax electric power, as long as user opens with power mode, just must meet the restriction of minimax electric power, for this reason, user's minimax electric power is constrained to:

$v_{k,t}{D}_{k,t}^{\min }\≤D_{k,t}\≤v_{k,t}{D}_{k,t}^{\max },k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(8\right)$

In formula: with respectively the electric power of k position flexible type user in period t minimum, maximum; N _ffor flexible type number of users; T is period number; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode;

C: be minimised as target with user's side total cost, translating type user's electricity consumption curve model, multi-mode type user's electricity consumption curve model and flexible type user's constraint condition is added in ordered electric model, carry out ordered electric planning and calculate; Wherein, the objective function of ordered electric model is

$\min \underset{k=1}{\overset{N}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\λ}}_t{D}_{k,t}+\underset{k=1}{\overset{N_S}{\mathrm{\Σ}}}\underset{t=t_k^{\min }}{\overset{t_k^{\max }}{\mathrm{\Σ}}}{\mathrm{CS}}_{k,t}{\mathrm{\α}}_{k,t}+\underset{k=1}{\overset{N_M}{\mathrm{\Σ}}}\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{\mathrm{CM}}_{k,m}{\mathrm{\α}}_{k,m};$

In formula: hop count when T is; N is whole user's numbers; N _sfor translating type number of users; N _mfor multi-mode type number of users; with be respectively k position translating type user and start the moment the earliest of electricity consumption and moment the latest; M _kbe that k is multi-mode type user's electricity consumption model number; λ _tfor the tou power price in t moment; D _k,tfor continuous variable, represent the need for electricity of k position user in the t moment; CS _k,tbe that k position translating type user is chosen in the translation cost that the t moment starts electricity consumption; CM _k,mit is the adjustment cost that k position many m mode-type user selects electricity consumption mode m; α _k,tand α _k,mbeing respectively k position translating type user selects the decision variable of initial time and k position multi-mode type user to select the decision variable with power mode.

D: analyze ordered electric program results, judge whether to obtain feasible solution, feasible solution refers to that customer charge level is no more than the solution of substation capacity; If obtain feasible solution, enter step e; If cannot draw feasible solution, enter step F;

E: exit ordered electric planning in this day, and the ordered electric that enters next day planning; The process of the ordered electric planning of next day is, selects this day not participate in the client of ordered electric planning, then returns to step B;

F: participate in ordered electric number of times according to user, add more users constraint in plan model, return to step B.

Because most of user's electricity consumption all has certain interactive potentiality, can be by load curve translation in certain hour window, therefore, the present invention respects fully user's self part throttle characteristics, is ensureing to realize peak load shifting under the prerequisite that power consumption is constant.The present invention is according to user's part throttle characteristics, first be rigidity user, translating type user, multi-mode type user or flexible type user by user's sophisticated category, and add respectively constraint condition according to user type, then be minimised as target with user's side total cost, translating type user's electricity consumption curve model, multi-mode type user's electricity consumption curve model and flexible type user's constraint condition is added in ordered electric model, carry out ordered electric planning and calculate, finally obtain feasible solution by ordered electric program results.The present invention is by the sophisticated category to user, can on the basis that respects fully user power utilization characteristic, realize and using electricity in off-peak hours, ordered electric is down to minimum on the impact of the normal productive life of user, thereby increase user's interaction capability and the fairness of ordered electric, improving the frequent problem of transferring the forward user of sequence in long-term ordered electric scheme, the fairness that promotes ordered electric is had to direct using value.Meanwhile, the present invention can also reduce electric load peak-valley difference, promote assets of generating electricity utilization factor and operation of power networks efficiency, thereby improves utilization rate of electrical, optimizes allocation of resources, and improves the security of operation of power networks.

Brief description of the drawings

Fig. 1 is schematic flow sheet of the present invention;

Fig. 2 is user typical case day electricity consumption level schematic diagram;

Fig. 3 is the each pattern need for electricity of multi-mode user curve synoptic diagram;

Fig. 4 is transformer station's load level comparison diagram before and after first participating user ordered electric;

Fig. 5 is comparison diagram before and after No. C horizontal ordered electric of flexible adjusting type user power utilization;

Fig. 6 is comparison diagram before and after No. D horizontal ordered electric of flexible adjusting type user power utilization;

Fig. 7 is transformer station's load level comparison diagram before and after first participating user ordered electric.

Embodiment

As shown in Figure 1, the fair ordered electric method based on user interaction ability of the present invention, comprises the following steps:

A: participate in the number of times of ordered electric according to user, determine respectively whether each user participates in ordered electric;

B: to participating in the user of ordered electric, the workload demand of declaring according to this user classification that becomes more meticulous, this user is divided into rigidity user, translating type user, multi-mode type user or flexible type user, and adds respectively constraint condition according to user type; User power utilization curve model is also constraint condition.

In actual electric network, electricity consumption user, according to self life Production requirement, has different part throttle characteristics and electricity consumption constraint.The electricity consumption user of workload demand rigidity, classifies as rigidity user, can not change such user's electricity consumption curve when ordered electric planning; Electricity consumption curve shape is fixed but with electrical initiation choosing period of time electricity consumption user flexibly, is classified as translating type user, and what ordered electric when planning need to be optimized such user uses the electrical initiation period; There is multiple electricity consumption user of switching flexibly with power mode and can plan time a few days ago, classify as multi-mode type user, when ordered electric planning, need to be optimized with power mode it; User that finally can flexible by electricity consumption curve classifies as flexible type user, when ordered electric planning, the need for electricity of such each period of user's whole day is optimized.

Rigidity user, the workload demand that refers to this user is rigidity, can be with the electricity consumption behavior of this user's whole day of fixing curve description; In electricity consumption curve model, rigidity user's load is considered to known constant;

Translating type user, refers to that this user has relatively-stationary production procedure, the figurate electricity consumption curve of tool, but be flexibly to the selection that starts the electricity consumption period; In process of production, if translating type user start, need to devote oneself to work according to its fixing electricity consumption curve, therefore can select the suitable load curve with electrical initiation period, such user of translation, in the function that ensures that under the prerequisite that user's whole day power consumption is constant, realization is avoided the peak hour, the object that reaches smoothing system load curve, minimizing transformer station short of electricity amount, translating type user's electricity consumption curve model is:

$D_{k,t}=\underset{\mathrm{\τ}=1}{\overset{W_k}{\mathrm{\Σ}}}{D}_k\left(\mathrm{\τ}\right){\mathrm{\α}}_{k,t-\mathrm{\τ}+1},k=\mathrm{1,2}...N_S,t=\mathrm{1,2},...T---\left(1\right)$

Wherein, D _k,tit is the electricity consumption level in k position translating type user t moment; W _kit is k position translating type user's the electricity consumption curve duration; α _{k, t-τ+1}for 0-1 decision variable, represent whether k position translating type user selects the t moment as the initial electricity consumption moment, 1 represents to select, and 0 represents not select; N _sfor translating type user's number; T is period number;

Multi-mode type user, refers to that this user has in actual electric network multiple with power mode, and can between different mode, switch flexibly according to the actual requirements in the works a few days ago; For multi-mode type user, because can tending to select certain under unconfined condition, consumption habit uses power mode, if but can make up multi-mode type user's mode adjustment cost, can make such user overcome consumption habit, change electricity consumption curve, thereby reduce the peak of power consumption need for electricity in period, make the electrical network operation of safety economy more; Multi-mode type user's electricity consumption curve model is:

$D_{k,t}=\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{D}_{k,m,t}{\mathrm{\α}}_{k,m},k=\mathrm{1,2}...N_M,t=\mathrm{1,2},...T---\left(2\right)$

Wherein, D _k,tit is the k position electricity consumption level in multi-mode type user t moment; D _{k, m, t}be that k position multi-mode type user's m kind power mode is in the need for electricity of moment t; M _kit is k position multi-mode type user's electricity consumption model number; α _k,mfor 0-1 decision variable, represent whether k position multi-mode type user selects electricity consumption mode m, 1 represents to select, and 0 represents not select; N _mfor multi-mode type user's number; T is period number;

Flexible type user, refers to the user that electricity consumption curve can flexible; For flexible type user, because each period need for electricity adjusting is comparatively flexible, carry out electricity consumption constraint according to following five aspects:

1) the minimum electricity consumption time-constrain continuously of user

Due to Once you begin electricity consumption of certain customers, just must meet the minimum constraint condition of electricity consumption time continuously, the minimum electricity consumption time-constrain continuously of user is:

$\underset{\mathrm{\τ}=t-{T_k}^u}{\overset{t-1}{\mathrm{\Σ}}}{v}_{k,\mathrm{\τ}}-(v_{k,t-1}-v_{k,t}){T_k}^u\≥0,k=\mathrm{1,2},...N_F,t=\mathrm{1,2},...T---\left(3\right)$

Wherein, T _k ^uit is k position flexible type user's the continuous electricity consumption time of minimum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

2) the maximum power off time continuously of user constraint

User's production equipment needs cooling conventionally, its cooling utility appliance power-off a period of time at most continuously, if power-off time exceedes this restriction, may cause main process equipment wearing and tearing to increase and even damage production equipment.Therefore, the maximum power off time continuously of user is constrained to:

$\underset{\mathrm{\τ}=t-{T_k}^d-1}{\overset{t-1}{\mathrm{\Σ}}}\left({1-v}_{k,\mathrm{\τ}}\right){\≤T_k}^d,k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(4\right)$

Wherein, T _k ^dit is k position flexible type user's the continuous power off time of maximum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

3) user's whole day power consumption constraint

Because there is clear and definite requirement in certain customers to daily power consumption, must obtain specified value every day or more electric weight just can complete production requirement, for this reason, being constrained to of user's whole day power consumption:

$\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{D}_{k,t}\≥E_k,k=\mathrm{1,2}...N_F---\left(5\right)$

Wherein: D _k,tit is the k position electricity consumption level in flexible type user t moment; E _kit is the minimum power consumption of k position flexible type user whole day; N _ffor flexible type number of users; T is period number;

4) user power utilization power changes rate constraint

There is certain requirement because certain customers change speed to electric power, therefore need to ensure that electric power changes speed and keeps within the specific limits.Be similar to generator climbing constraint, certain customers change speed to electric power certain requirement, need to ensure that electric power changes speed and keeps within the specific limits.For example, the air-conditioning system in intelligent building, within room temperature keeps certain comfort level time, temperature control system can make the electric power of air-conditioning system change, but can not make air-conditioning system change too quickly power, otherwise room temperature cannot keep relatively constant.Therefore,, for the user of this part, its electric power changes being constrained to of speed:

D _k,t-D _k,t-1≤R _k ^u,k＝1,2...N _F,t＝1,2...T (6)

D _k,t-1-D _k,t≤R _k ^d,k＝1,2...N _F,t＝1,2...T (7)

In formula: D _k,tit is the k position electricity consumption level in flexible type user t moment; R _k ^ube k position flexible type user's increase electric power rate limit, R _k ^dit is k position flexible type user's minimizing electric power rate limit; N _ffor flexible type number of users; T is period number;

5) user's minimax electric power constraint

Because user has the restriction of minimax electric power, as long as user opens with power mode, just must meet the restriction of minimax electric power, for this reason, user's minimax electric power is constrained to:

$v_{k,t}{D}_{k,t}^{\min }\≤D_{k,t}\≤v_{k,t}{D}_{k,t}^{\max },k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(8\right)$

In formula: with respectively the electric power of k position flexible type user in period t minimum, maximum; N _ffor flexible type number of users; T is period number; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode;

C: be minimised as target with user's side total cost, translating type user's electricity consumption curve model, multi-mode type user's electricity consumption curve model and flexible type user's constraint condition is added in ordered electric model, carry out ordered electric planning and calculate; Wherein, the objective function of ordered electric model is

$\min \underset{k=1}{\overset{N}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\λ}}_t{D}_{k,t}+\underset{k=1}{\overset{N_S}{\mathrm{\Σ}}}\underset{t=t_k^{\min }}{\overset{t_k^{\max }}{\mathrm{\Σ}}}{\mathrm{CS}}_{k,t}{\mathrm{\α}}_{k,t}+\underset{k=1}{\overset{N_M}{\mathrm{\Σ}}}\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{\mathrm{CM}}_{k,m}{\mathrm{\α}}_{k,m};$

In formula: hop count when T is; N is whole user's numbers; N _sfor translating type number of users; N _mfor multi-mode type number of users; with be respectively k position translating type user and start the moment the earliest of electricity consumption and moment the latest; M _kbe that k is multi-mode type user's electricity consumption model number; λ _tfor the tou power price in t moment; D _k,tfor continuous variable, represent the need for electricity of k position user in the t moment; CS _k,tbe that k position translating type user is chosen in the translation cost that the t moment starts electricity consumption; CM _k,mit is the adjustment cost that k position many m mode-type user selects electricity consumption mode m; α _k,tand α _k,mbeing respectively k position translating type user selects the decision variable of initial time and k position multi-mode type user to select the decision variable with power mode.

D: analyze ordered electric program results, judge whether to obtain feasible solution, feasible solution refers to that customer charge level is no more than the solution of substation capacity; If obtain feasible solution, enter step e; If cannot draw feasible solution, enter step F;

E: exit ordered electric planning in this day, and the ordered electric that enters next day planning; The process of the ordered electric planning of next day is to select this day not participate in the client of ordered electric planning, and return to step B;

F: participate in ordered electric number of times according to user, add more users in ordered electric model, return to step B.

Below in conjunction with specific embodiment, the present invention is further detailed:

In this embodiment, system only has a transformer station, and it is 12600kW that transformer station's net capability is set, and taking 15min as a period, user typical case day electricity consumption level as shown in Figure 2.

As seen from Figure 2, in 42,43,53,56,61 periods, the total need for electricity of user is greater than the net capability of transformer station, must take ordered electric measure.In the time optimizing ordered electric scheme, need to consider the fairness between user.Current ordered electric object is in a period of time, to have neither part nor lot in the user of ordered electric, or participates in the user of less number of times ordered electric; For the user who carried out ordered electric, make it not participate in optimizing and revising.

In example, A rigidity user does not participate in ordered electric; Suppose that B, F translating type user are respectively 1,0 when having participated in ordered electric number of times week; Suppose that E multi-mode type user is 0 when having participated in ordered electric number of times week; Suppose that C, D flexible type user are 1,1 when having participated in ordered electric number of times week.The next day of ordered electric meeting, between two crowdes of users, carry out in turn.

A: because B, C, D have participated in the planning of ordered electric, judge that the user that need to participate in ordered electric planning next day is E, F user.

B: multi-mode type user E has 3 kinds with power mode, high-power mode, middle power mode and low power mode, as shown in Figure 3.

The initial time of translating type user F and to move peak cost as shown in table 1.

Table 1F translating type user moves peak cost

Retrain according to its electricity consumption curve of E and F user's information acquisition:

For E multi-mode type user,

$D_{E,t}=\underset{m=1}{\overset{a}{\mathrm{\Σ}}}{D}_{E,m,t}{a}_{E,m},t=\mathrm{1,2}...96$

For F translating type user,

$D_{F,t}=\underset{\mathrm{\τ}=1}{\overset{\mathrm{aa}}{\mathrm{\Σ}}}{D}_F\left(\mathrm{\τ}\right){\mathrm{\α}}_{F,t-\mathrm{\τ}+1},t=\mathrm{1,2}...96$

C: E and F user's electricity consumption curve constraint is added into ordered electric model, and model is optimized.Calculate E user and select low power mode operation, and F user to select electricity consumption initial time be 18.

D: before and after ordered electric planning, the contrast of user's total load level as shown in Figure 4.

As seen from Figure 4, after ordered electric planning, user's total load, lower than substation capacity, illustrates by optimization and calculates feasible solution.Therefore, enter step e, do not need to enter step F.

E: ordered electric had been planned in this day, enters ordered electric planning next day;

Next day, the step of ordered electric planning was:

In the ordered electric planning of next day, because E and F user have just carried out ordered electric, therefore select the user who has neither part nor lot in ordered electric planning on some other day to participate in ordered electric planning next day, i.e. user B, C, D, then returns to step B;

B: the initial time of translating type user B and move peak cost as shown in chart 2,

Table 2B translating type user moves peak cost

The electricity consumption curve constrained parameters of flexible type user C and D arrange as shown in table 3,

Table 3 flexible type customer parameter arranges

Retrain according to its electricity consumption curve of B, C, D user's information acquisition:

For B multi-mode type user,

$D_{E,t}=\underset{\mathrm{\τ}=1}{\overset{a4}{\mathrm{\Σ}}}{D}_E\left(\mathrm{\τ}\right){\mathrm{\α}}_{E,t-\mathrm{\τ}+1},t=\mathrm{1,2}...96$

For C and D flexible type user,

(1) minimum electricity consumption time-constrain continuously

$\underset{\mathrm{\τ}=t-a}{\overset{t-1}{\mathrm{\Σ}}}{v}_{c,\mathrm{\τ}}-8(v_{c,t-1}-v_{c,t})\≥0,t=\mathrm{1,2}...96$

$\underset{\mathrm{\τ}=t-5}{\overset{t-1}{\mathrm{\Σ}}}{v}_{D,\mathrm{\τ}}-5(v_{D,t-1}-v_{D,t})\≥0,t=\mathrm{1,2}...96$

(2) maximum power off time continuously constraint

$\underset{\mathrm{\τ}=t-10-1}{\overset{t-1}{\mathrm{\Σ}}}(1-v_{c,\mathrm{\τ}})\≤10,t=\mathrm{1,2}...96$

$\underset{\mathrm{\τ}=t-20-1}{\overset{t-1}{\mathrm{\Σ}}}(1-v_{D,\mathrm{\τ}})\≤20,t=\mathrm{1,2}...96$

(3) whole day power consumption constraint

$\underset{t=1}{\overset{96}{\mathrm{\Σ}}}{D}_{c,t}\≥4900$

$\underset{t=1}{\overset{96}{\mathrm{\Σ}}}{D}_{D,t}\≥27000$

(4) electric power changes rate constraint

D _c，t-D _c，t-1≤3，t＝1，2...96

D _c，t-1-D _c，t≤20，t＝1，2...96

D _D，t-D _E，t-1≤3，t＝1，2...96

D _D，t-1-D _D，t≤20，t＝1，2...96

(5) minimax electric power constraint

20v _c，t≤D _c，t≤70v _c，t，t＝1，2...96

100v _D，t≤D _D，t≤600v _D，t，t=1，2...96

C: B, C, D user's electricity consumption curve constraint is added into ordered electric model, and model is optimized.Calculating B user, to select electricity consumption initial time be that before and after the planning of 1, C and D user's ordered electric electricity consumption curve is as illustrated in Figures 5 and 6.

D: before and after ordered electric planning, the contrast of user's total load level as shown in Figure 7.

Visible, after ordered electric planning, user's total load, lower than substation capacity, illustrates by optimization and calculates feasible solution.Therefore, enter step e, do not need to enter step F.

E: ordered electric had been planned in this day, enters ordered electric planning in next day.

Claims (1)

1. the fair ordered electric method based on user interaction ability, is characterized in that, comprises the following steps:

A: participate in the number of times of ordered electric according to user, determine respectively whether each user participates in ordered electric;

B: to participating in the user of ordered electric, the workload demand of declaring according to this user classification that becomes more meticulous, this user is divided into rigidity user, translating type user, multi-mode type user or flexible type user, and adds respectively constraint condition according to user type;

Rigidity user, the workload demand that refers to this user is rigidity, can be with the electricity consumption behavior of this user's whole day of fixing curve description; In electricity consumption curve model, rigidity user's load is considered to known constant;

Translating type user, refers to that this user has relatively-stationary production procedure, the figurate electricity consumption curve of tool, but be flexibly to the selection that starts the electricity consumption period; In process of production, if translating type user start, need to devote oneself to work according to its fixing electricity consumption curve, therefore can select the suitable load curve with electrical initiation period, such user of translation, in the function that ensures that under the prerequisite that user's whole day power consumption is constant, realization is avoided the peak hour, the object that reaches smoothing system load curve, minimizing transformer station short of electricity amount, translating type user's electricity consumption curve model is:

$D_{k,t}=\underset{\mathrm{\τ}=1}{\overset{W_k}{\mathrm{\Σ}}}{D}_k\left(\mathrm{\τ}\right){\mathrm{\α}}_{k,t-\mathrm{\τ}+1},k=\mathrm{1,2}...N_S,t=\mathrm{1,2},...T---\left(1\right)$

Wherein, D _k,tit is the electricity consumption level in k position translating type user t moment; W _kit is k position translating type user's the electricity consumption curve duration; α _{k, t-τ+1}for 0-1 decision variable, represent whether k position translating type user selects the t moment as the initial electricity consumption moment, 1 represents to select, and 0 represents not select; N _sfor translating type user's number; T is period number;

Multi-mode type user, refers to that this user has in actual electric network multiple with power mode, and can between different mode, switch flexibly according to the actual requirements in the works a few days ago; For multi-mode type user, because can tending to select certain under unconfined condition, consumption habit uses power mode, if but can make up multi-mode type user's mode adjustment cost, can make such user overcome consumption habit, change electricity consumption curve, thereby reduce the peak of power consumption need for electricity in period, make the electrical network operation of safety economy more; Multi-mode type user's electricity consumption curve model is:

$D_{k,t}=\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{D}_{k,m,t}{\mathrm{\α}}_{k,m},k=\mathrm{1,2}...N_M,t=\mathrm{1,2},...T---\left(2\right)$

Wherein, D _k,tit is the k position electricity consumption level in multi-mode type user t moment; D _{k, m, t}be that k position multi-mode type user's m kind power mode is in the need for electricity of moment t; M _kit is k position multi-mode type user's electricity consumption model number; α _k,mfor 0-1 decision variable, represent whether k position multi-mode type user selects electricity consumption mode m, 1 represents to select, and 0 represents not select; N _mfor multi-mode type user's number; T is period number;

Flexible type user, refers to the user that electricity consumption curve can flexible; For flexible type user, because each period need for electricity adjusting is comparatively flexible, carry out electricity consumption constraint according to following five aspects:

1) the minimum electricity consumption time-constrain continuously of user

Due to Once you begin electricity consumption of certain customers, just must meet the minimum constraint condition of electricity consumption time continuously, the minimum electricity consumption time-constrain continuously of user is:

$\underset{\mathrm{\τ}=t-{T_k}^u}{\overset{t-1}{\mathrm{\Σ}}}{v}_{k,\mathrm{\τ}}-(v_{k,t-1}-v_{k,t}){T_k}^u\≥0,k=\mathrm{1,2},...N_F,t=\mathrm{1,2},...T---\left(3\right)$

Wherein, T _k ^uit is k position flexible type user's the continuous electricity consumption time of minimum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

2) the maximum power off time continuously of user constraint

User's production equipment needs cooling conventionally, its cooling utility appliance power-off a period of time at most continuously, if power-off time exceedes this restriction, may cause main process equipment wearing and tearing to increase and even damage production equipment.Therefore, the maximum power off time continuously of user is constrained to:

$\underset{\mathrm{\τ}=t-{T_k}^d-1}{\overset{t-1}{\mathrm{\Σ}}}\left({1-v}_{k,\mathrm{\τ}}\right){\≤T_k}^d,k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(4\right)$

Wherein, T _k ^dit is k position flexible type user's the continuous power off time of maximum; N _ffor flexible type number of users; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode; T is period number;

3) user's whole day power consumption constraint

Because there is clear and definite requirement in certain customers to daily power consumption, must obtain specified value every day or more electric weight just can complete production requirement, for this reason, being constrained to of user's whole day power consumption:

$\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{D}_{k,t}\≥E_k,k=\mathrm{1,2}...N_F---\left(5\right)$

Wherein: D _k,tit is the k position electricity consumption level in flexible type user t moment; E _kit is the minimum power consumption of k position flexible type user whole day; N _ffor flexible type number of users; T is period number;

4) user power utilization power changes rate constraint

There is certain requirement because certain customers change speed to electric power, therefore need to ensure that electric power changes speed and keeps within the specific limits.Be similar to generator climbing constraint, certain customers change speed to electric power certain requirement, need to ensure that electric power changes speed and keeps within the specific limits.For example, the air-conditioning system in intelligent building, within room temperature keeps certain comfort level time, temperature control system can make the electric power of air-conditioning system change, but can not make air-conditioning system change too quickly power, otherwise room temperature cannot keep relatively constant.Therefore,, for the user of this part, its electric power changes being constrained to of speed:

D _k,t-D _k,t-1≤R _k ^u,k＝1,2...N _F,t＝1,2...T (6)

D _k,t-1-D _k,t≤R _k ^d,k＝1,2...N _F,t＝1,2...T (7)

In formula: D _k,tit is the k position electricity consumption level in flexible type user t moment; R _k ^ube k position flexible type user's increase electric power rate limit, R _k ^dit is k position flexible type user's minimizing electric power rate limit; N _ffor flexible type number of users; T is period number;

5) user's minimax electric power constraint

Because user has the restriction of minimax electric power, as long as user opens with power mode, just must meet the restriction of minimax electric power, for this reason, user's minimax electric power is constrained to:

$v_{k,t}{D}_{k,t}^{\min }\≤D_{k,t}\≤v_{k,t}{D}_{k,t}^{\max },k=\mathrm{1,2}...N_F,t=\mathrm{1,2}...T---\left(8\right)$

In formula: with respectively the electric power of k position flexible type user in period t minimum, maximum; N _ffor flexible type number of users; T is period number; v _k,tfor 0-1 decision variable, represent k position flexible type user in the t period whether in electricity condition, 1 expressions electricity condition, 0 expression power down mode;

C: be minimised as target with user's side total cost, translating type user's electricity consumption curve model, multi-mode type user's electricity consumption curve model and flexible type user's constraint condition is added in ordered electric model, carry out ordered electric planning and calculate; Wherein, the objective function of ordered electric model is

$\min \underset{k=1}{\overset{N}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\λ}}_t{D}_{k,t}+\underset{k=1}{\overset{N_S}{\mathrm{\Σ}}}\underset{t=t_k^{\min }}{\overset{t_k^{\max }}{\mathrm{\Σ}}}{\mathrm{CS}}_{k,t}{\mathrm{\α}}_{k,t}+\underset{k=1}{\overset{N_M}{\mathrm{\Σ}}}\underset{m=1}{\overset{M_k}{\mathrm{\Σ}}}{\mathrm{CM}}_{k,m}{\mathrm{\α}}_{k,m};$

In formula: hop count when T is; N is whole user's numbers; N _sfor translating type number of users; N _mfor multi-mode type number of users; with be respectively k position translating type user and start the moment the earliest of electricity consumption and moment the latest; M _kbe that k is multi-mode type user's electricity consumption model number; λ _tfor the tou power price in t moment; D _k,tfor continuous variable, represent the need for electricity of k position user in the t moment; CS _k,tbe that k position translating type user is chosen in the translation cost that the t moment starts electricity consumption; CM _k,mit is the adjustment cost that k position many m mode-type user selects electricity consumption mode m; α _k,tand α _k,mbeing respectively k position translating type user selects the decision variable of initial time and k position multi-mode type user to select the decision variable with power mode.

D: analyze ordered electric program results, judge whether to obtain feasible solution, feasible solution refers to that customer charge level is no more than the solution of substation capacity; If obtain feasible solution, enter step e; If cannot draw feasible solution, enter step F;

E: exit ordered electric planning in this day, and the ordered electric that enters next day planning; The process of the ordered electric planning of next day is, selects this day not participate in the client of ordered electric planning, then returns to step B;

F: participate in ordered electric number of times according to user, add more users constraint in plan model, return to step B.