CN112036669A - System and method for hierarchical optimization of community energy management based on interactive energy utilization - Google Patents
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Abstract
The invention discloses a hierarchical optimization system for community energy management based on interactive energy consumption, which comprises a household energy consumption demand module, a household energy consumption optimization module, a household Internet of things air switch module, household electrical equipment, a household electrical equipment monitoring module, a community energy consumption demand module, a community energy consumption optimization module, a community Internet of things air switch module, community electrical equipment, a community electrical equipment monitoring module, an energy storage equipment module, a communication module and a community energy management server. According to the invention, interactive management is carried out from two levels of household energy consumption and community energy consumption, so that electric energy resources are reasonably configured, and the electric energy utilization rate and the power grid operation efficiency are improved.
Description
Technical Field
The invention belongs to the technical field of power distribution and utilization management, and particularly relates to a community energy management hierarchical optimization system and method based on interactive energy utilization.
Technical Field
With the continuous development of society and the continuous pursuit of people for good life, the requirement of society on the reliability of power supply is higher and higher, so that the guarantee of safe and stable supply of electric energy is very important. However, in the aspect of power supply for residential communities, the traditional community power supply mode faces the following problems that firstly, the demand of community family load participation in interactive power utilization is increasingly urgent, and secondly, the trend of a large number of electric automobiles accessing a community power distribution network is increasingly urgent. Therefore, it is urgently needed to construct a community energy management system for interactive energy utilization, so as to reasonably allocate electric energy resources and effectively improve the electric energy utilization rate and the power grid operation efficiency.
CN203164733U discloses an intelligent community synthesizes energy management system, including terminal equipment collection subassembly, monitoring host computer, building management host computer and community management server, can realize real time monitoring and synthesize optimization management, improve advantages such as energy utilization efficiency, but this system lacks energy storage equipment, can only control to cut off terminal equipment and adjust the electric wire netting, and can't carry out active and reactive power compensation to the electric wire netting through energy storage equipment.
CN104216385A discloses an intelligent community low-carbon energy management system based on two-stage energy management system, including terminal equipment layer, control layer, building energy management layer and community energy management layer, can realize the comprehensive management of intelligent community's energy, realize intelligent community's energy saving and emission reduction, but this system considers building and community control, optimizes according to real-time electricity price information, has ignored user comfort level, and the family user can't participate in the control decision-making.
Disclosure of Invention
The invention aims to solve the technical problems and provides a hierarchical optimization system and a method for community energy management based on interactive energy consumption.
In order to achieve the purpose, the invention designs a community energy management hierarchical optimization system based on interactive energy utilization, which is characterized in that: the household energy consumption optimization system comprises a household energy consumption demand module, a household energy consumption optimization module, a household Internet of things air switch module, household electrical equipment, a household electrical equipment monitoring module, a community energy consumption demand module, a community energy consumption optimization module, a community Internet of things air switch module, community electrical equipment, a community electrical equipment monitoring module, an energy storage equipment module, a communication module and a community energy management server, wherein the household electrical consumption demand module is used for determining the daily required power consumption of a household according to a preset daily household electrical consumption demand initial value, an electrical demand response and the comfort level of a household user;
the community electricity consumption demand module is used for determining the daily demand electricity consumption of the community according to a preset initial value of the daily community electricity consumption demand, the electricity demand response and the comfort level of community users;
the household energy consumption optimization module utilizes the household Internet of things empty module to control household electric equipment so that the actual household electricity consumption does not exceed the daily required electricity consumption of a household;
the community energy consumption optimization module controls community electric equipment by utilizing a community Internet of things air switch module so that the actual electricity consumption of a community does not exceed the daily required electricity consumption of the community;
the household electric equipment monitoring module is used for acquiring the energy consumption change of a household within one hour from a household electric network, and the community electric equipment monitoring module is used for acquiring the energy consumption change of a community within one hour from a community electric network; the household electric equipment monitoring module uploads the energy consumption change of a household within one hour and the energy consumption change of a community within one hour to the community energy management server through the communication module;
the energy storage device module obtains energy consumption change within one hour of the community and energy consumption change within one hour of the family through the community energy management server, controls the charging and discharging process of the energy storage device module according to the energy consumption change within one hour of the community and the energy consumption change within one hour of the family, and achieves comprehensive compensation of active power and reactive power of a community power grid.
The invention develops a community energy management layered optimization system based on interactive energy consumption by starting from two layers of household energy consumption management and community energy consumption management and considering power demand response and user comfort. The reactive compensation of the energy storage equipment is utilized to enlarge the effective capacity of the distribution transformer, the active output is used as the reserve capacity of the community distribution transformer, and the active and reactive comprehensive compensation of the community can be realized.
Drawings
FIG. 1 is a schematic structural diagram of the present invention.
Wherein, 1-household power consumption demand module, 2-household can optimize the module, 3-household thing networking air switch module, 4-household consumer, 5-household consumer monitoring module, 6-community power consumption demand module, 7-community can optimize the module, 8-community thing networking air switch module, 9-community consumer, 10-community consumer monitoring module, 11-energy storage equipment module, 12-energy storage equipment monitoring module, 13-electric energy quality monitoring module, 14-communication module, 15-community energy management server.
Detailed Description
The invention is described in further detail below with reference to the following figures and examples:
as shown in fig. 1, a hierarchical optimization system for community energy management based on interactive energy utilization is characterized in that: the household energy consumption optimization system comprises a household electricity consumption demand module 1, a household energy consumption optimization module 2, a household Internet of things air switch module 3, household electricity consumption equipment 4, a household electricity consumption equipment monitoring module 5, a community electricity consumption demand module 6, a community energy consumption optimization module 7, a community Internet of things air switch module 8, community electricity consumption equipment 9, a community electricity consumption equipment monitoring module 10, an energy storage equipment module 11, a communication module 14 and a community energy management server 15, wherein the household electricity consumption demand module 1 is used for determining the daily required electricity consumption of a household according to a preset daily household electricity consumption demand initial value, an electricity demand response and the comfort level of a household user;
the community electricity consumption demand module 6 is used for determining the daily demand electricity consumption of the community according to a preset initial value of the daily community electricity consumption demand, the electricity demand response and the comfort level of community users;
the household energy optimization module 2 utilizes the household Internet of things empty module 3 to control household electrical equipment 4 (household lighting, water heaters, air conditioners and the like) so that the actual household electricity consumption does not exceed the daily required electricity consumption of a household;
the community energy consumption optimization module 7 controls community electric equipment 9 (electric vehicles, lighting, elevators and the like of a community) by utilizing a community Internet of things air switch module 8 so that the actual electricity consumption of the community does not exceed the daily required electricity consumption of the community;
the household electric equipment monitoring module 5 is used for acquiring the energy consumption change of a household within one hour from a household electric network, and the community electric equipment monitoring module 10 is used for acquiring the energy consumption change of a community within one hour from a community electric network; the household electric equipment monitoring module 5 uploads the energy consumption change within one hour of a family and the energy consumption change within one hour of a community to the community energy management server 15 through the communication module 14;
the energy storage device module 11 obtains the energy consumption change within one hour of the community and the energy consumption change within one hour of the family through the community energy management server 15, and controls the charging and discharging processes of the energy storage device module 11 according to the energy consumption change within one hour of the community and the energy consumption change within one hour of the family, so that the active power and reactive power comprehensive compensation of the community power grid is realized.
Among the above-mentioned technical scheme, it still includes power quality monitoring module 13, power quality monitoring module 13 is used for detecting the real-time voltage value of community's electric wire netting, calculate load capacity and three-phase unbalance degree, judge whether reach the start threshold of energy storage equipment module 11, if community's electric wire netting real-time voltage descends 10% relative to standard community's electric wire netting voltage, or load capacity if exceed the rated load capacity of community, or the three-phase unbalance appears in the community electric wire netting, then energy storage equipment module 11 carries out reactive power compensation to the community electric wire netting through the balanced three-phase current's of reactive power compensation mode, improve the utilization ratio of distribution transformer capacity, otherwise, energy storage equipment module 11 carries out active power compensation to the community electric wire netting, thereby promote power supply capacity and improve power.
In the above technical solution, the system further includes an energy storage device monitoring module 12, where the energy storage device monitoring module 12 is used to monitor the energy storage state of the energy storage device module 11. And transmits the energy storage status to the community energy management server 15 through the communication module 14.
Among the above-mentioned technical scheme, the energy consumption of family optimizes the module and optimizes according to electric power demand response, user's comfort level and equipment operating condition to utilize the empty module of internet of things of family to control the disconnection of corresponding equipment in the electrical equipment module of family, mainly to air conditioner and water heater.
The community energy consumption optimizing module optimizes according to external power grid capacity, a community power grid structure and an equipment working state, controls the on-off of corresponding equipment in the community electric equipment module by utilizing the community Internet of things air-open module, and mainly aims at the electric automobile so as to formulate an ordered charging and discharging strategy of the electric automobile and energy storage matching.
In the above technical solution, when the energy storage device module 11 performs comprehensive compensation of active power and reactive power on the community grid, it is required to ensure that the storage capacity of the energy storage device module 11 at the beginning of the t time period always satisfies the constraint condition S of the storage capacitymin≤b(t)≤Smax，SminRepresents the lowest stored energy of the energy storage module, SmaxRepresents the maximum energy storage capacity of the energy storage module, and b (t) represents the energy storage capacity of the energy storage device module 11 at the beginning of the t period;
b(t)＝(1-)b(t-1)+(ηcpc(t)-pf(t)/ηf)Δt-bf(t)/ηf+bc(t)ηc
wherein, the self-discharge coefficient, eta, of the energy storage device module (11)cAnd ηfRespectively representing the charging and discharging efficiencies, p, of the battery in the energy storage device module 11c(t) and pf(t) represents the battery charging and discharging power in the energy storage device module 11, respectively, bf(t) is the actual amount of power provided by the energy storage device module 11 at time t, bc(t) is the charging capacity of the energy storage device module 11 at time t, and Δ t represents the charging and discharging time of the energy storage device module 11.
Among the above-mentioned technical scheme, in practice, resident control electrical equipment's break-make electricity state is experienced the decision by resident comfort level, like indoor temperature broad width value, temperature threshold value etc. therefore resident comfort level is experienced direct influence resident electricity consumption. According to the comfort requirement of a user, aiming at the main household electric equipment, a user comfort model K is establishedeqCorrelation of real-time status and user comfort characterizing an electrical device(ii) a The larger the comfort level index is, the farther the current state of the electrical equipment is from the optimal comfort value set by the user is, and the lower the power utilization satisfaction degree of the user is. By means of the normalization process, the comfort level indicator can be compared as a typical state parameter for all controllable loads.
The home user comfort level Keq1 and the community user comfort level Keq2 are respectively calculated according to the following formulas:
in the technical scheme, the preset initial value of the household power demand every day is equal to the average value of the actual household power consumption of the last three days; the preset initial value of the daily community electricity demand is equal to the average value of the actual community electricity consumption of the last three days.
A community energy management hierarchical optimization method based on interactive energy utilization comprises the following steps:
step 1: the household electricity demand module 1 determines the daily required electricity consumption of a household according to a preset initial value of daily household electricity demand, electricity demand response and comfort of a household user; the community electricity demand module 6 determines the daily demand electricity consumption of the community according to a preset initial value of the daily community electricity demand, the electricity demand response and the comfort level of community users;
step 2: the household energy consumption optimization module 2 utilizes the household Internet of things empty module 3 to control household electric equipment 4 so that the actual household electricity consumption does not exceed the daily required electricity consumption of a household;
the community energy consumption optimization module 7 controls community electric equipment 9 by using a community Internet of things air switch module 8 so that the actual electricity consumption of the community does not exceed the daily required electricity consumption of the community;
and step 3: the household electric equipment monitoring module 5 acquires the energy consumption change of a household within one hour from a household electric network, and the community electric equipment monitoring module 10 acquires the energy consumption change of a community within one hour from a community electric network; the household electric equipment monitoring module 5 uploads the energy consumption change within one hour of a family and the energy consumption change within one hour of a community to the community energy management server 15 through the communication module 14;
and 4, step 4: the energy storage device module 11 obtains the energy consumption change within one hour of the community and the energy consumption change within one hour of the family through the community energy management server 15, and controls the charging and discharging processes of the energy storage device module 11 according to the energy consumption change within one hour of the community and the energy consumption change within one hour of the family, so that the active power and reactive power comprehensive compensation of the community power grid is realized.
Details not described in this specification are within the skill of the art that are well known to those skilled in the art.
Claims (7)
1. The utility model provides a hierarchical optimization system of community energy management based on interactive energy consumption which characterized in that: the household energy consumption optimization system comprises a household electricity consumption demand module (1), a household energy consumption optimization module (2), a household Internet of things air switch module (3), household electricity consumption equipment (4), a household electricity consumption equipment monitoring module (5), a community electricity consumption demand module (6), a community energy consumption optimization module (7), a community Internet of things air switch module (8), community electricity consumption equipment (9), a community electricity consumption equipment monitoring module (10), an energy storage equipment module (11), a communication module (14) and a community energy management server (15), wherein the household electricity consumption demand module (1) is used for determining the daily required electricity consumption of a household according to a preset daily household electricity consumption demand initial value, an electricity demand response and the comfort level of a household user;
the community electricity utilization demand module (6) is used for determining the daily demand electricity consumption of the community according to a preset initial value of the daily community electricity utilization demand, electricity demand response and community user comfort;
the household energy consumption optimization module (2) utilizes the household Internet of things air switch module (3) to control household electric equipment (4) so that the actual household electricity consumption does not exceed the daily required electricity consumption of a household;
the community energy consumption optimization module (7) controls community electric equipment (9) by using a community Internet of things air switch module (8) so that the actual electricity consumption of a community does not exceed the daily required electricity consumption of the community;
the household electric equipment monitoring module (5) is used for acquiring the energy consumption change of a household within one hour from a household electric network, and the community electric equipment monitoring module (10) is used for acquiring the energy consumption change of a community within one hour from a community electric network; the household electric equipment monitoring module (5) uploads the energy consumption change of a household within one hour and the energy consumption change of a community within one hour to the community energy management server (15) through the communication module (14);
the energy storage device module (11) obtains the energy consumption change within one hour of the community and the energy consumption change within one hour of the family through the community energy management server (15), controls the charging and discharging process of the energy storage device module (11) according to the energy consumption change within one hour of the community and the energy consumption change within one hour of the family, and achieves comprehensive compensation of active power and reactive power of a community power grid.
2. The interactive energy usage-based hierarchical community energy management optimization system of claim 1, wherein: it still includes power quality monitoring module (13), power quality monitoring module (13) are used for detecting the real-time voltage value of community's electric wire netting, calculate load capacity and three-phase unbalance degree, judge whether reach the start threshold value of energy storage equipment module (11), if community's electric wire netting real-time voltage descends 10% relative standard community electric wire netting voltage, or load capacity if exceed the rated load capacity of community, or the three-phase unbalance appears in the community electric wire netting, then energy storage equipment module (11) carries out reactive compensation through the mode of the balanced three-phase current of reactive power compensation to the community electric wire netting, otherwise, energy storage equipment module (11) carries out active power compensation to the community electric wire netting.
3. The interactive energy usage-based hierarchical community energy management optimization system of claim 1, wherein: the energy storage device monitoring system further comprises an energy storage device monitoring module (12), wherein the energy storage device monitoring module (12) is used for monitoring the energy storage state of the energy storage device module (11).
4. According to the rightThe interactive energy consumption based community energy management hierarchical optimization system of claim 1, characterized in that: when the energy storage equipment module (11) performs comprehensive compensation of active power and reactive power on the community power grid, it needs to be ensured that the storage capacity of the energy storage equipment module (11) at the beginning of the t time period always meets the constraint condition S of the storage capacitymin≤b(t)≤Smax，SminRepresents the lowest stored energy of the energy storage module, SmaxRepresents the highest electric storage capacity of the energy storage module, and b (t) represents the electric storage capacity of the energy storage device module (11) at the beginning of the t period;
b(t)＝(1-)b(t-1)+(ηcpc(t)-pf(t)/ηf)Δt-bf(t)/ηf+bc(t)ηc
wherein, the self-discharge coefficient, eta, of the energy storage device module (11)cAnd ηfRespectively representing the charging and discharging efficiencies, p, of the battery in the energy storage device module (11)c(t) and pf(t) represents the battery charging and discharging power in the energy storage device module (11), respectively, bf(t) is the actual amount of power provided by the energy storage device module (11) at time t, bcAnd (t) is the charging electric quantity of the energy storage equipment module (11) at the time t, and delta t represents the charging and discharging time of the energy storage equipment module (11).
5. The interactive energy usage-based hierarchical community energy management optimization system of claim 1, wherein: the home user comfort level Keq1 and the community user comfort level Keq2 are respectively calculated according to the following formulas:
6. the interactive energy usage-based hierarchical community energy management optimization system of claim 1, wherein: the preset initial value of the household power demand every day is equal to the average value of the actual household power consumption of the last three days; the preset initial value of the daily community electricity demand is equal to the average value of the actual community electricity consumption of the last three days.
7. A community energy management layered optimization method based on interactive energy utilization is characterized by comprising the following steps:
step 1: the household electricity demand module (1) determines the daily required electricity consumption of a household according to a preset initial value of daily household electricity demand, electricity demand response and the comfort level of a household user; the community electricity utilization demand module (6) determines the daily demand electricity consumption of a community according to a preset initial value of the daily community electricity utilization demand, electricity demand response and community user comfort;
step 2: the household energy consumption optimization module (2) utilizes the household Internet of things air switch module (3) to control household electric equipment (4) so that the actual household electricity consumption does not exceed the daily required electricity consumption of a household;
the community energy consumption optimization module (7) controls community electric equipment (9) by using a community Internet of things air switch module (8) so that the actual electricity consumption of a community does not exceed the daily required electricity consumption of the community;
and step 3: the household electrical equipment monitoring module (5) acquires the energy consumption change of a household within one hour from a household electrical network, and the community electrical equipment monitoring module (10) acquires the energy consumption change of a community within one hour from a community electrical network; the household electric equipment monitoring module (5) uploads the energy consumption change of a household within one hour and the energy consumption change of a community within one hour to the community energy management server (15) through the communication module (14);
and 4, step 4: the energy storage device module (11) obtains the energy consumption change within one hour of the community and the energy consumption change within one hour of the family through the community energy management server (15), controls the charging and discharging process of the energy storage device module (11) according to the energy consumption change within one hour of the community and the energy consumption change within one hour of the family, and achieves comprehensive compensation of active power and reactive power of a community power grid.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113872215A (en) * | 2021-09-26 | 2021-12-31 | 国网电力科学研究院武汉能效测评有限公司 | Household appliance load optimization control system and control method based on demand response |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203151218U (en) * | 2012-12-18 | 2013-08-21 | 辽宁省电力有限公司辽阳供电公司 | Energy efficiency management system based on intelligent station area |
| CN108805681A (en) * | 2018-06-20 | 2018-11-13 | 上海电力学院 | A kind of multi-user's home energy source shared system based on energy cloud |
| CN110533311A (en) * | 2019-08-21 | 2019-12-03 | 三峡大学 | Intelligent Community coordinated scheduling system and method based on energy source router |
| CN110601224A (en) * | 2019-09-03 | 2019-12-20 | 华南理工大学 | Low-voltage transformer area voltage three-phase unbalance adjusting method based on household temperature control load |
-
2020
- 2020-09-30 CN CN202011066227.8A patent/CN112036669A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203151218U (en) * | 2012-12-18 | 2013-08-21 | 辽宁省电力有限公司辽阳供电公司 | Energy efficiency management system based on intelligent station area |
| CN108805681A (en) * | 2018-06-20 | 2018-11-13 | 上海电力学院 | A kind of multi-user's home energy source shared system based on energy cloud |
| CN110533311A (en) * | 2019-08-21 | 2019-12-03 | 三峡大学 | Intelligent Community coordinated scheduling system and method based on energy source router |
| CN110601224A (en) * | 2019-09-03 | 2019-12-20 | 华南理工大学 | Low-voltage transformer area voltage three-phase unbalance adjusting method based on household temperature control load |
Non-Patent Citations (1)
| Title |
|---|
| 郑晓坤等: "基于遗传算法的家庭能源系统能量优化管理", 《无线互联科技》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113872215A (en) * | 2021-09-26 | 2021-12-31 | 国网电力科学研究院武汉能效测评有限公司 | Household appliance load optimization control system and control method based on demand response |
| CN113872215B (en) * | 2021-09-26 | 2024-01-09 | 国网电力科学研究院武汉能效测评有限公司 | Household appliance load optimization control system and control method based on demand response |
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Application publication date: 20201204 |