CN103593717A - Micro-grid energy real-time optimization control method - Google Patents
Micro-grid energy real-time optimization control method Download PDFInfo
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Abstract
The invention relates to a micro-grid energy real-time optimization control method. When output power of a fan and output power of a photovoltaic power system are larger than the system power load, charging is carried out on an energy storage unit and an electric automobile, redundant electric energy is sold to a main grid, and the system benefit is increased; the output of storage batteries is continuously increased in the peak-load period to sell electricity to the main grid, the system benefit is increased, and the effect of peak clipping is achieved; in addition, when the generating cost of fuel cells is higher than the electricity purchasing cost, the electricity is purchased from the main grid, and the purpose of filling the peak valley and the purpose of improving operating economy of the system are achieved. The balance of system energy in the power grid is ensured, the economic benefit is increased, energy saving and emission reduction are achieved, and the problems that at present, economy of electricity consumption is poor, and real-time energy of system operation cannot be well balanced are solved.
Description
Technical field
The present invention relates to micro-electric power network technique field, be specifically related to a kind of micro-electrical network energy method for real-time optimization control.
Background technology
The energy is important substance basis and the strategic resource of socio-economic development, and climate change and energy problem have proposed an urgent demand of low carbon development to countries in the world.On the one hand, along with expanding economy, the increase of population and the quickening of urbanization process, to the demand of the energy, in swift and violent increase, a large amount of uses of fossil energy have caused the discharge of environmental pollution and greenhouse gases, and environmental problem is increasingly outstanding.On the other hand, because fossil energy itself is non-renewable energy resources, constantly consume the exhaustion that also causes resource.Improve energy utilization rate, development clean energy resource, optimizes and revises energy consumption structure, the dependency degree of reduction to fossil energy, improve efficiency of energy utilization, develop low-carbon energy-saving economy, become the common choice of countries in the world solution energy security and environmental issue, reply Global climate change.
State Grid Corporation of China, by building the strong intelligent grid of distinct Chinese characteristics, greatly develops low-carbon economy and low-carbon energy.In field, Intelligent Community, rely on strong intelligent power distribution and using electricity system, the development of support and guidance regenerative resource and accumulator system, promote friendly interactive user service, promote the smart machine large-scale application such as low-loss and energy-saving equipment, electric automobile and intelligent appliance, guiding terminal user optimization applied energy constitute, improves the proportion of clean electric energy in final energy consumption, reduce the negative effect that fossil fuel is used, reduce energy consumption and reduce discharge.
At present, China is doing well not enough aspect the economic benefit of energy-saving and emission-reduction, raising electric energy, and because power consumption is large, electric energy can not reach good balance.Real-time optimization is controlled mainly the difference between a few days ago predicting the outcome according to Real-time Load prediction, wind-powered electricity generation, photovoltaic generation prediction (ultra-short term prediction) result and its, and the variation of the unexpected variation of system loading and supply unit operating maintenance situation, to generating and electricity consumption plan are made real-time adjustment, the real-time energy equilibrium of assurance system operation a few days ago.
Real-time optimization is controlled and to be sought the best real-time optimization control strategy in community/build, with Real-time Load prediction and wind-powered electricity generation, photovoltaic generation are predicted as basis in real time, form the coordination control strategy between community/building electricity consumption, generation of electricity by new energy, energy storage, real-time energy equilibrium and the important load of the operation of assurance system are powered continuously, under the stability of the system of assurance real time execution and the prerequisite of security, the economy of raising system operation.
Summary of the invention
The object of this invention is to provide a kind of micro-electrical network energy method for real-time optimization control, the minimum with energy cost of building of take is target, in order to guarantee the balance of system capacity in electrical network, increase economic efficiency, energy-saving and emission-reduction, solve that current electricity consumption is less economical, the real-time energy of the system operation problem of balance well.
For achieving the above object, the solution of the present invention is: a kind of micro-electrical network energy method for real-time optimization control, comprises the steps:
(1) preferentially use exerting oneself of blower fan, photovoltaic generation unit, maximized wind energy and the sun power of utilizing;
(2) when the output power of blower fan, photovoltaic is greater than systematic electricity load, first to energy-storage units and charging electric vehicle, unnecessary electric energy is sold to major network, increases system benefit;
(3) when exerting oneself of blower fan, photovoltaic can not meet systematic electricity load, detect the state-of-charge of accumulator, when duty ratio is higher, if accumulator meets discharging condition, increases battery discharging and exert oneself;
(4) if can meet the energy equilibrium of system in the scope of exerting oneself of accumulator, in the peak load phase, continue to increase accumulator and exert oneself to major network sale of electricity, and continue to detect accumulator load state; If can not meet the energy equilibrium of system in the scope of exerting oneself of accumulator, compare cost of electricity-generating and the power purchase cost of fuel cell;
(5) if the cost of electricity-generating of fuel cell, higher than power purchase cost, from major network power purchase, if still can not meet the energy equilibrium of system from major network power purchase, increases exerting oneself of fuel cell; If the cost of electricity-generating of fuel cell lower than power purchase cost, increases fuel cell, exert oneself, if increased after the exerting oneself of fuel cell, in the scope of exerting oneself of fuel cell, still can not meet the energy equilibrium of system, from major network power purchase;
(6) if all micro-sources coordinate, in it exerts oneself scope, all can not meet the energy equilibrium of system, according to the significance level of load, excise successively, the stability of assurance system operation.
Further, the traditional Mathematical Programming of employing based on CPLEX realized the real-time optimization control of the energy.
Further, the step of the traditional Mathematical Programming based on CPLEX is as follows:
(1) take building with can cost minimum be target, set up comprise generation of electricity by new energy, with loading and the objective function of civil power, and set up the MIXED INTEGER mathematical programming model that system is moved;
(2), by the constraint condition linearization of system operation, the equality constraint of coupling system operation, sets up constraint matrix;
(3) write the real-time optimization control algolithm program based on CPLEX;
(4) take ultra-short term data and wind-powered electricity generation, photovoltaic generation predicted data is foundation, by real-time optimization control algolithm program, provide the real time execution Planning & Coordination control strategy of new forms of energy, energy storage, controllable burden, and adjustment policy instructions is handed down to terminal control device.
Further, when the state-of-charge of accumulator is detected in step (3), the dump energy of accumulator can not be lower than 30% of its max cap..
Further, accumulator meets discharging condition in step (3), refer to accumulator state-of-charge, discharge and recharge the discharging condition that the factors such as number of times and interval meet accumulator.
The beneficial effect that the present invention reaches: method for real-time optimization control of the present invention is according to the variation of the unexpected variation of system loading and supply unit operating maintenance situation, to generating and electricity consumption plan are made real-time adjustment a few days ago, real-time energy equilibrium and the important load of the operation of assurance system are powered continuously, under the stability of the system of assurance real time execution and the prerequisite of security, the economy of raising system operation.
The present invention is when the output power of blower fan, photovoltaic is greater than systematic electricity load, and to energy-storage units and charging electric vehicle, unnecessary electric energy is sold to major network, increases system benefit; And in the peak load phase, continue to increase accumulator and exert oneself to major network sale of electricity, increase system benefit, play the effect of peak clipping simultaneously; In addition, when the cost of electricity-generating of fuel cell is during higher than power purchase cost, from major network power purchase, reach the object of filling out paddy and improving system performance driving economy.
The present invention adopts the traditional Mathematical Programming based on CPLEX to realize above-mentioned real-time optimization and controls, meet system to optimum results accuracy requirement in, can guarantee the travelling speed of system.
The present invention adopts maximal power tracing technology (MPPT), can maximized wind energy and the sun power of utilizing.
Accompanying drawing explanation
Fig. 1 is method for real-time optimization control process flow diagram of the present invention;
Fig. 2 is the realization flow that the present invention is based on the Mathematical Programming of CPLEX.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further detailed explanation.
Micro-electrical network energy method for real-time optimization control of the present invention, comprises the steps:
(1) preferentially use exerting oneself of blower fan, photovoltaic generation unit, maximized wind energy and the sun power of utilizing;
(2) when the output power of blower fan, photovoltaic is greater than systematic electricity load, first to energy-storage units and charging electric vehicle, unnecessary electric energy is sold to major network, increases system benefit;
(3) when exerting oneself of blower fan, photovoltaic can not meet systematic electricity load, detect the state-of-charge of accumulator, when duty ratio is higher, if accumulator meets discharging condition, increases battery discharging and exert oneself;
(4) if can meet the energy equilibrium of system in the scope of exerting oneself of accumulator, in the peak load phase, continue to increase accumulator and exert oneself to major network sale of electricity, and continue to detect accumulator load state; If can not meet the energy equilibrium of system in the scope of exerting oneself of accumulator, compare cost of electricity-generating and the power purchase cost of fuel cell;
(5) if the cost of electricity-generating of fuel cell, higher than power purchase cost, from major network power purchase, if still can not meet the energy equilibrium of system from major network power purchase, increases exerting oneself of fuel cell; If the cost of electricity-generating of fuel cell lower than power purchase cost, increases fuel cell, exert oneself, if increased after the exerting oneself of fuel cell, in the scope of exerting oneself of fuel cell, still can not meet the energy equilibrium of system, from major network power purchase;
(6) if all micro-sources coordinate, in it exerts oneself scope, all can not meet the energy equilibrium of system, according to the significance level of load, excise successively, the stability of assurance system operation.
As Fig. 1, the method for real-time optimization control of the present embodiment comprises the following steps:
1) preferentially use exerting oneself of blower fan, photovoltaic generation unit, adopt maximal power tracing technology, maximized wind energy and the sun power of utilizing;
2) when the output power of blower fan, photovoltaic is greater than systematic electricity load, first to energy-storage units and charging electric vehicle, unnecessary electric energy is sold to major network, increases system benefit;
3) when exerting oneself of blower fan, photovoltaic can not meet systematic electricity load, detect the state-of-charge of accumulator, the dump energy of accumulator can not be lower than 30% of its max cap.; When duty ratio is higher, if the state-of-charge of accumulator, discharge and recharge the condition that the factors such as number of times and interval meet battery discharging, accumulator increases electric discharge and exerts oneself;
4) if can meet the energy equilibrium of system in the scope of exerting oneself of accumulator, in the peak load phase, can consider to continue to increase accumulator and exert oneself to major network sale of electricity, increase system benefit, play the effect of peak clipping simultaneously;
5) if can not meet systematic electricity load in the scope of exerting oneself of accumulator, now compare cost of electricity-generating and the power purchase cost of fuel cell: if the cost of electricity-generating of fuel cell is higher than power purchase cost, from major network power purchase, reach the object of filling out paddy and improving system performance driving economy, if still can not meet the energy equilibrium of system after power purchase, increase exerting oneself of fuel cell; If the cost of electricity-generating of fuel cell lower than power purchase cost, increases fuel cell, exert oneself, as still can not met power balance in the scope of exerting oneself of fuel cell, from major network, buy electricity;
6) if all micro-sources are engaged in its scope of exerting oneself, all can not meet power balance, according to the significance level of load, excise successively, the stability of assurance system operation.
As Fig. 2, the present embodiment adopts the traditional Mathematical Programming based on CPLEX to realize above-mentioned real-time optimization and controls, meet system to optimum results accuracy requirement in, can guarantee the travelling speed of system.Concrete steps are as follows:
1) take building with can cost minimum be target, set up comprise generation of electricity by new energy, with loading and the objective function of civil power, and set up the MIXED INTEGER mathematical programming model that system is moved;
2), by the constraint condition linearization of system operation, the equality constraint of coupling system operation, sets up constraint matrix;
3) write the real-time optimization control algolithm program based on CPLEX;
4) take ultra-short term data and wind-powered electricity generation, photovoltaic generation predicted data is foundation, by real-time optimization control program, provide the real time execution Planning & Coordination control strategy of new forms of energy, energy storage, controllable burden, and adjustment policy instructions is handed down to terminal control device.
Method for real-time optimization control of the present invention is according to the variation of the unexpected variation of system loading and supply unit operating maintenance situation, to generating and electricity consumption plan are made real-time adjustment a few days ago, real-time energy equilibrium and the important load of the operation of assurance system are powered continuously, under the stability of the system of assurance real time execution and the prerequisite of security, the economy of raising system operation.
Claims (5)
1. a micro-electrical network energy method for real-time optimization control, is characterized in that: the method comprises the steps:
(1) preferentially use exerting oneself of blower fan, photovoltaic generation unit, maximized wind energy and the sun power of utilizing;
(2) when the output power of blower fan, photovoltaic is greater than systematic electricity load, first to energy-storage units and charging electric vehicle, unnecessary electric energy is sold to major network, increases system benefit;
(3) when exerting oneself of blower fan, photovoltaic can not meet systematic electricity load, detect the state-of-charge of accumulator, when duty ratio is higher, if accumulator meets discharging condition, increases battery discharging and exert oneself;
(4) if can meet the energy equilibrium of system in the scope of exerting oneself of accumulator, in the peak load phase, continue to increase accumulator and exert oneself to major network sale of electricity, and continue to detect accumulator load state; If can not meet the energy equilibrium of system in the scope of exerting oneself of accumulator, compare cost of electricity-generating and the power purchase cost of fuel cell;
(5) if the cost of electricity-generating of fuel cell, higher than power purchase cost, from major network power purchase, if still can not meet the energy equilibrium of system from major network power purchase, increases exerting oneself of fuel cell; If the cost of electricity-generating of fuel cell lower than power purchase cost, increases fuel cell, exert oneself, if increased after the exerting oneself of fuel cell, in the scope of exerting oneself of fuel cell, still can not meet the energy equilibrium of system, from major network power purchase;
(6) if all micro-sources coordinate, in it exerts oneself scope, all can not meet the energy equilibrium of system, according to the significance level of load, excise successively, the stability of assurance system operation.
2. micro-electrical network energy method for real-time optimization control according to claim 1, is characterized in that the real-time optimization that the method adopts traditional Mathematical Programming based on CPLEX to realize the energy controls.
3. micro-electrical network energy method for real-time optimization control according to claim 2, is characterized in that the step of the traditional Mathematical Programming based on CPLEX is as follows:
(1) take building with can cost minimum be target, set up comprise generation of electricity by new energy, with loading and the objective function of civil power, and set up the MIXED INTEGER mathematical programming model that system is moved;
(2), by the constraint condition linearization of system operation, the equality constraint of coupling system operation, sets up constraint matrix;
(3) write the real-time optimization control algolithm program based on CPLEX;
(4) take ultra-short term data and wind-powered electricity generation, photovoltaic generation predicted data is foundation, by real-time optimization control algolithm program, provide the real time execution Planning & Coordination control strategy of new forms of energy, energy storage, controllable burden, and adjustment policy instructions is handed down to terminal control device.
4. micro-electrical network energy method for real-time optimization control according to claim 1, while it is characterized in that step (3) detects storage battery charge state, the dump energy of accumulator can not be lower than 30% of its max cap..
5. method according to claim 1, is characterized in that in step (3), accumulator meets discharging condition, refer to accumulator state-of-charge, discharge and recharge the discharging condition that the factors such as number of times and interval meet accumulator.
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| CN104242415A (en) * | 2014-10-20 | 2014-12-24 | 青岛海汇德电气有限公司 | Networked self-adaptive charging control method and system for automobile |
| CN104868534A (en) * | 2015-05-12 | 2015-08-26 | 江苏固德威电源科技有限公司 | Photovoltaic energy storage inverter energy management method |
| CN105160451A (en) * | 2015-07-09 | 2015-12-16 | 上海电力学院 | Electric-automobile-contained micro electric network multi-target optimization scheduling method |
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Application publication date: 20140219 |