CN113822578B - Distributed energy management method for cooperatively considering comprehensive energy system of harbor - Google Patents

Distributed energy management method for cooperatively considering comprehensive energy system of harbor Download PDF

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CN113822578B
CN113822578B CN202111117258.6A CN202111117258A CN113822578B CN 113822578 B CN113822578 B CN 113822578B CN 202111117258 A CN202111117258 A CN 202111117258A CN 113822578 B CN113822578 B CN 113822578B
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port
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单麒赫
张裕欣
滕菲
宋晶
张玉喜
李铁山
吕东昕
王建元
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Dalian Maritime University
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Abstract

The invention provides a distributed energy management method for cooperatively considering a port comprehensive energy system, wherein the port comprehensive energy system internally manages energy during the departure of a ship; and when the ship enters the port to stop, the ship is regarded as a mobile power supply and is used as an additional power supply device to participate in the port comprehensive energy system, so that the full utilization of energy is realized. According to the invention, the energy management problem of the centralized energy management mode during ship navigation is solved based on a dynamic programming method, and the distributed alternative multiplier algorithm is adopted to carry out optimal scheduling on the basis of the distributed energy management mode of the port comprehensive energy system during ship navigation and the port comprehensive energy system mode which is cooperatively considered during ship port leaning. The invention can improve the energy utilization efficiency while ensuring the safe and reliable operation of the ship and port comprehensive energy system, thereby reducing the requirement of the port ring on the traditional energy and finally realizing the dual improvement of economic benefit and environmental benefit.

Description

Distributed energy management method for cooperatively considering comprehensive energy system of harbor
Technical Field
The invention relates to the technical field of comprehensive energy system optimization scheduling, in particular to a distributed energy management method for cooperatively considering a ship harbor comprehensive energy system.
Background
With the continuous development of renewable clean energy technology, more and more distributed new energy equipment is integrated into a comprehensive energy system of ships and ports. The shipping industry is one of main industries of fossil energy consumption, and emits a large amount of greenhouse gases each year, so that the shipping industry is promoted to develop towards the environment-friendly direction, and energy in a ship energy system needs to be reasonably and efficiently utilized. In addition, at present, the energy management problem of the ship and the port energy system is treated independently, and the comprehensive energy system between the ship and the port energy system is ignored to perform cooperative optimization, so that the high-efficiency utilization of energy is affected to a certain extent, the system operation cost is improved indirectly, and the greenhouse gas emission is increased. Therefore, the problem of electric-thermal multi-energy flow coupling of the ship and the port comprehensive energy system is cooperatively considered, and the energy can be efficiently utilized while the safe and stable operation of the energy system is ensured, so that the problem of environmental pollution caused by redundant energy is effectively reduced.
At present, a centralized solving strategy is mostly adopted for the energy management problem of a ship comprehensive energy system and a port comprehensive energy system, but along with the leap improvement of the renewable power supply technology level, more and more distributed new energy equipment is integrated into the energy system, and certain intermittence and fluctuation are brought. Therefore, when energy optimization scheduling is performed, the conventional centralized mechanism cannot meet the requirement of the current comprehensive energy system with strong distributed characteristics, and a distributed economic optimization scheduling strategy capable of solving the problem of multi-energy flow coupling energy management is needed. In addition, when the energy management problem of the 'port circle' is treated at present, the ship and the port energy system are treated independently, namely the comprehensive energy management problem of the ship and the comprehensive energy system problem of the port are treated respectively, so that a certain degree of energy waste is brought, and the utilization efficiency of energy is reduced.
Disclosure of Invention
In view of the defects of the prior art, the invention provides a distributed energy management method which considers a port comprehensive energy system cooperatively. According to the invention, according to the working characteristics of the new energy equipment and the traditional energy supply equipment, the operation characteristics of the ship, namely the port energy system are combined, and meanwhile, the port comprehensive energy system is subjected to energy optimization scheduling in the aspects of economic benefit and social benefit, so that the intermittence and fluctuation caused by the distributed renewable energy source are eliminated, and the stable and economic operation of the port comprehensive energy system is realized.
The invention adopts the following technical means:
the distributed energy management method is realized based on a ship port comprehensive energy system, wherein the ship port comprehensive energy system comprises a ship comprehensive energy system and a port comprehensive energy system, and the ship comprehensive energy system comprises a ship-borne internal combustion engine electric and thermal comprehensive energy supply system, a ship-borne photovoltaic power supply system, a ship-borne energy storage controller, a ship direct current bus bar, a ship heating network and a plurality of power transmission systems; the port comprehensive energy system comprises a port internal combustion engine electric heating comprehensive energy supply system, a port photovoltaic power supply system, a port fan power supply system, a port energy storage controller, a port direct current bus bar, a port heating network and a plurality of power transmission systems; the method comprises the following steps:
s1, judging whether a ship leans against port in the port at the moment, judging the ship operation state at the moment based on the ship leans against port condition, and determining a ship port comprehensive energy system energy management mode according to the ship operation state, wherein the ship port comprehensive energy system energy management mode comprises a port comprehensive energy system mode without ship leans against port, a ship comprehensive energy system mode without ship leans against port and a ship port comprehensive energy system mode with ship leans against port;
s2, collecting and summarizing the types and the quantity of energy supply equipment and load equipment contained in the ship comprehensive energy system and the port comprehensive energy system, analyzing and calculating the operation cost parameters of the energy supply equipment and the benefit parameters of the load equipment, and constructing an operation cost function of the energy supply equipment and an operation benefit function model of the load equipment;
s3, constructing a ship port comprehensive energy system energy management model by combining a ship port comprehensive energy system energy management mode based on the equipment operation cost function and the load equipment operation benefit function model;
s4, based on load data collected by a ship load center and a port load center, a physical constraint condition set is established in combination with actual ship navigation requirements and port operation requirements, and optimization iteration is carried out on the output state, the mismatch state and the marginal cost of energy supply equipment based on a distributed intelligent algorithm with tracking characteristics;
s5, carrying out optimized scheduling based on the distributed intelligent algorithm with the tracking characteristic, obtaining a group of optimized schemes after each optimized scheduling, judging by combining with actual physical constraint, and if the optimized schemes meet the physical constraint conditions of all the harbor comprehensive energy systems, obtaining the optimized scheduling schemes of the energy supply equipment; if all constraint conditions cannot be met, continuing optimization iteration until all constraint limits are met.
Compared with the prior art, the invention has the following advantages:
the method is based on the running state of the ship, namely the port leaning state and the port departure state, takes the maximum economic benefit brought by energy supply cost and load benefit during running as an optimization target, and cooperatively considers the energy management problem of the ship port comprehensive energy system, so as to further provide a distributed optimal scheduling method for the energy scheduling of the ship port comprehensive energy system. The method provided by the invention can effectively improve the energy utilization efficiency and reduce the environmental pollution caused by redundant energy of the ship on the basis of ensuring safe and reliable operation of the ship and the port.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of a method for managing optimal energy based on a comprehensive energy system of a ship port.
FIG. 2 is a diagram of a comprehensive energy system architecture for a harbor in an embodiment of the present invention.
FIG. 3 is a diagram of a simulation architecture of a comprehensive energy system for a harbor in an embodiment of the present invention.
Fig. 4 is a communication topology structure of the comprehensive energy system of the port in the embodiment of the invention.
FIG. 5 is a graph showing the output trace of the ship comprehensive energy system power supply output in the embodiment of the invention.
FIG. 6 is a graph showing the output of a thermal output track of the ship integrated energy system in the embodiment of the invention.
FIG. 7 is a graph showing the output error trace of the ship-port integrated energy system power supply output in the embodiment of the invention.
FIG. 8 is a graph showing the output of a thermal output trace from a ship-port integrated energy system in an embodiment of the invention.
FIG. 9 is a graph showing the output of a thermal output error trace from a ship-port integrated energy system in an embodiment of the invention.
FIG. 10 is a graph showing the output of a thermal output error trace from a ship-port integrated energy system in an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
The invention discloses a distributed economic optimization scheduling method for a comprehensive energy system of a ship harbor in cooperative consideration, which is realized based on the comprehensive energy system of the ship harbor.
The ship comprehensive energy system comprises a ship-borne internal combustion engine electric heating comprehensive energy supply system, a ship-borne photovoltaic power supply system, a ship-borne energy storage controller, a ship direct current bus bar, a ship heating network and a plurality of power transmission systems. In addition, the power supply ends of the shipborne internal combustion engine electric heating comprehensive power supply system, the shipborne photovoltaic power supply system and the shipborne energy storage system are connected to one end of the ship direct current bus in parallel, and the power transmission system of ship load equipment (such as a lead-through equipment, a fuel preheating equipment, an exhaust gas boiler and ship propulsion equipment) is connected to the other end of the ship direct current bus. Specifically, the harbour energy system includes: the system comprises a ship energy supply center, a ship energy conversion center, a ship load center, a ship energy scheduling center, a port energy supply center, a port energy conversion center, a port load center, a port energy scheduling center and shore power equipment; the ship and port energy center comprises new energy equipment (such as a photovoltaic unit and a fan unit), traditional fuel equipment (such as an internal combustion unit and a cogeneration device) and energy storage equipment; the load center comprises various living loads, communication equipment, office buildings, fuel preheating equipment and an exhaust gas boiler.
The port comprehensive energy system comprises a port internal combustion engine electric and thermal comprehensive energy supply system, a port photovoltaic power supply system, a port fan power supply system, a port energy storage controller, a port direct current bus bar, a port heating power network and a plurality of power transmission systems. In addition, the port comprehensive energy system comprises a port internal combustion engine electric and thermal comprehensive energy supply system, a port photovoltaic power supply system, a port fan power supply system and a port energy storage system, wherein the energy supply ends of the port internal combustion engine electric and thermal comprehensive energy supply system, the port fan power supply system and the port energy storage system are connected to one end of the port direct current bus in parallel, and the power transmission system of port load equipment (such as mechanical dragging equipment and life energy consumption equipment) is connected to the other end of the port direct current bus. When the ship leans against the harbor, the ship comprehensive energy system and the harbor comprehensive energy system are connected with each other through shore power equipment, so that the ship harbor comprehensive energy system is formed.
The invention discloses a distributed energy management method for cooperatively considering a port comprehensive energy system, which is shown in fig. 1 and comprises the following steps:
step 1: and judging the ship operation state, namely judging whether the ship leans to the port at the moment or not, and judging the state information at the moment based on the ship leans to the port. The energy management of the ship port comprehensive energy system is divided into 3 types, namely a port comprehensive energy system without ship port, a ship comprehensive energy system without ship port and a ship port comprehensive energy system with ship port.
Specifically, three scenarios of energy management model optimization objectives include:
1) Judging whether the ship leans against the harbor, if the ship is in the departure state, the ship and the harbor comprehensive energy are mutually independent, and the comprehensive energy source system energy management model optimization targets aiming at the harbor and the ship can be respectively expressed as follows:
2) Judging whether the ship leans to the port, and if the ship is in the port leaning state, expressing the energy management model of the ship port comprehensive energy system as follows:
wherein ,-an energy supply equipment operation cost function and a load operation benefit function in the port comprehensive energy system;
-an energy supply equipment operation cost function and a load operation benefit function in the ship comprehensive energy system;
energy supply device in port comprehensive energy systemPreparing processing state and load demand information;
-lower and upper limits of the output of the energy supply equipment in the port integrated energy system;
-lower and upper load limits in port integrated energy systems.
Step 2: the method comprises the steps of collecting and summarizing the types and the quantity of energy supply equipment and load equipment contained in a ship comprehensive energy system and a port comprehensive energy system, analyzing and calculating operation cost parameters of the energy supply equipment and benefit parameters of the load equipment, and constructing an operation cost function of the energy supply equipment and an operation benefit function model of the load equipment.
Step 3: and (3) constructing an energy management model based on the equipment operation cost function and the load equipment operation benefit function model in the step (2) and combining the three situations in the step (1).
Specifically, the method comprises the following steps:
1) Taking the lowest cost in the port operation period as an optimization target, performing mathematical modeling on the operation cost of the traditional cogeneration equipment, the new energy power supply equipment and the energy storage equipment respectively, and performing mathematical modeling on the operation benefit of the load equipment;
2) Based on the ship operation characteristics, a physical constraint model of the ship comprehensive energy system is built aiming at the balance of supply and demand of electric energy/heat energy, the anchoring and breaking prevention and the energy efficiency operation index. Based on port operation characteristics, a port comprehensive energy system physical constraint model is built aiming at electric energy/heat energy supply and demand balance and preventing the energy interruption of key load equipment.
Step 4: based on load data collected by a ship load center and a port load center, a physical constraint condition set is established in combination with actual ship navigation requirements and port operation requirements, and optimization iteration is carried out on the output state, the mismatch state and the marginal cost of energy supply equipment based on a distributed intelligent algorithm with tracking characteristics.
Step 5: and (3) adopting the distributed optimization method provided in the step (4) to obtain a group of optimization schemes after performing optimization scheduling every time. At the moment, judging by combining with actual physical constraint, and if the optimized scheme meets the physical constraint conditions of all the harbor comprehensive energy systems, obtaining the optimized scheduling scheme of the energy supply equipment; if all constraint conditions cannot be met, continuing optimization iteration until all constraint limits are met.
Specifically, the distributed optimization method in the invention mainly refers to a distributed alternating multiplier algorithm with tracking characteristics, which can solve the problem of distributed energy management, and mainly performs optimization iteration aiming at the output state, the output error and the Lagrange multiplier of energy supply equipment, namely marginal cost.
In addition, the ship in the port leaning state is regarded as the mobile energy storage equipment, and the ship comprehensive energy system is integrated into the port comprehensive energy system, so that the resource waste caused by the unspent redundant energy after the ship approaches the port is reduced, and the energy utilization efficiency is further improved.
The following describes the optimization scheme proposed by the invention further through specific application examples.
The distributed economic optimization scheduling method for the comprehensive ship port system cooperatively considers the safe and reliable operation of the ship energy supply equipment and the port energy supply equipment, and realizes the energy optimization scheduling of the comprehensive ship port energy system according to the port leaning state of the ship. FIG. 3 is a diagram of a simulation architecture of a port integrated energy system in accordance with an embodiment of the present invention. The energy supply measurement of the ship energy system consists of 5 groups of energy production equipment, namely 3 groups of ship-borne cogeneration equipment (S-CHP) and 2 groups of ship photovoltaic units (S-PV); the energy supply side of the port energy system consists of 8 groups of energy generating devices, namely 4 groups of cogeneration devices (H-CHP), 2 groups of photovoltaic units (PV) and 2 groups of fan units (WT). When the ship approaches the port, a shore power equipment switch at the port is closed, and the ship energy supply system is connected with the port comprehensive energy system, namely, the ship is used as energy supply equipment to participate in energy optimization management of the port comprehensive energy system; on the contrary, when the ship is in the departure state, the shore power equipment switch is in the opening and closing state, and then the energy optimization management is required to be independently carried out on the ship and the port comprehensive energy system. In this embodiment, the port integrated energy system is optimally scheduled twice based on the virtual load demand during the energy management operation, respectively for the two states of the ship being in the departure and the leaning port. In addition, during the energy optimization management, a distributed energy management model comprehensively considering the operation cost of energy supply equipment and the operation benefit of load equipment is established on the basis of meeting the operation constraint of ships and the operation constraint of ports, so that the cooperative improvement of economic benefit and environmental benefit is realized.
Aiming at the energy management model of the ship port comprehensive energy system, the invention provides a distributed optimal scheduling strategy which can solve the problems of electric heating coupling and inequality constraint. Based on the method, the energy management problem is converted into optimization iteration of the output state, the mismatch state and the marginal cost of energy supply equipment while meeting the load demands in the port area of the ship. Fig. 3 is a system simulation architecture diagram of the present embodiment, and fig. 4 is a communication topology structure of an electric power system and a thermodynamic system of the comprehensive energy system of the ship port considered in the embodiment. Based on the information, the energy management method for the comprehensive energy system of the ship harbor in cooperative consideration provided by the invention comprises the following steps:
step 1: and judging the ship operation state, namely judging whether the ship leans to the port at the moment or not, and judging the state information at the moment based on the ship leans to the port. The energy management of the ship port comprehensive energy system is divided into 3 types, namely a port comprehensive energy system without ship port, a ship comprehensive energy system without ship port and a ship port comprehensive energy system with ship port, and at the moment, the ship energy system transmits the energy which is not consumed in the running period of the ship to the port comprehensive energy system through shore power equipment to participate in the energy management;
step 2: the method comprises the steps of collecting and summarizing the types and the quantity of energy supply equipment and load equipment contained in a ship comprehensive energy system and a port comprehensive energy system, analyzing and calculating operation cost parameters of the energy supply equipment and benefit parameters of the load equipment, and constructing an operation cost function of the energy supply equipment and an operation benefit functional model of the load equipment. The mathematical model is specifically expressed as:
1) Ship-borne photovoltaic unit operation cost modeling
C (·) is the operation cost of the shipborne photovoltaic unit;
-the power is given by the shipborne photovoltaic unit;
-quadratic term and constant term coefficients of the ship-borne photovoltaic unit operation cost function.
2) On-board internal combustion unit (cogeneration plant) operating cost modeling
C (·) the operating cost of the on-board internal combustion unit;
-on-board internal combustion engine unit for giving out electric power and heating power;
-the secondary and primary coefficients of the power output of the ship-borne internal combustion engine unit operating cost function;
-the coefficients of the quadratic term and the first term of the heating output of the operating cost function of the on-board internal combustion engine unit;
-coefficient of constant term of running cost function of on-board internal combustion engine.
3) Port photovoltaic unit operation cost modeling
C (·) is the operation cost of the port photovoltaic unit;
-the port photovoltaic unit gives electricity and gives out force;
-the secondary term and the constant term coefficient of the operation cost function of the port photovoltaic unit.
4) Port fan unit running cost modeling
C (·) is the operation cost of the port fan unit;
-the port fan unit gives electricity and gives out force;
-secondary term and constant term coefficients of the port fan unit operation cost function.
5) Port internal combustion unit running cost modeling
C (·) is the operating cost of the port internal combustion unit;
-the port internal combustion engine unit gives electricity and heat output;
-the secondary and primary coefficients of the electric output given by the port internal combustion engine set operating cost function;
-the secondary and primary coefficients of the heating output of the port internal combustion engine set operating cost function;
-the coefficient of the constant term of the operating cost function of the port internal combustion engine.
6) Port energy storage device operation cost function modeling
C (·) the operating cost of the port energy storage device;
the port energy storage equipment gives out electricity, and discharges when the electricity is positive, and charges when the electricity is negative;
-the port energy storage device operating cost function gives the power coefficient.
7) Load device benefit function modeling
-ship and port loading equipment operation benefit functions;
-ship and port load demand;
-a ship load benefit function load demand factor;
port load benefit function load demand factor.
Step 3: based on the equipment operation cost function and the load equipment operation benefit function model in the step 2, constructing an energy management model by combining the three situations in the step 1;
step 3.1: judging whether the ship leans against the harbor, if the ship is in the departure state, the ship and the harbor comprehensive energy are mutually independent, and the comprehensive energy source system energy management model optimization targets aiming at the harbor and the ship can be respectively expressed as follows:
step 3.2: judging whether the ship leans to the port, and if the ship is in the port leaning state, expressing the energy management model of the ship port comprehensive energy system as follows:
wherein ,
-an energy supply equipment operation cost function and a load operation benefit function in the port comprehensive energy system;
-an energy supply equipment operation cost function and a load operation benefit function in the ship comprehensive energy system;
-the energy supply equipment in the port integrated energy system processes status and load demand information.
Step 4: based on load data collected by a ship load center and a port load center, establishing a physical constraint condition set by combining actual ship navigation requirements and port operation requirements;
step 4.1: supply and demand balance constraint model of ship comprehensive energy system
-the electrical load requirement and the heat of the ship comprehensive energy system meet the requirement;
-load demand for conversion of electrical energy into thermal energy in the marine integrated energy system;
η S the efficiency of converting electric energy into heat energy in the ship comprehensive energy system.
Step 4.2: energy break prevention constraint model of ship comprehensive energy system
-maximum energy output of a photovoltaic unit in the ship comprehensive energy system;
-maximum power of power supply and heat supply of the internal combustion engine unit of the ship comprehensive energy system;
-electrical and thermal load requirements that must be run in the marine integrated energy system.
Step 4.3: energy efficiency operation index constraint model of ship comprehensive energy system
-a marine energy efficiency running index;
-a ship energy efficiency running index set point;
L d -ship cargo load;
dist—ship sailing distance;
-the secondary term, the primary term and the constant term coefficient of the ship greenhouse gas emission function.
Step 4.4: output constraint model of energy supply equipment of ship comprehensive energy system
-minimum power output of the ship-borne photovoltaic unit;
-minimum power and heat-giving power of the on-board internal combustion engine unit.
Step 4.5: port comprehensive energy system supply and demand balance constraint model
-the electric load requirement and the heat of the port comprehensive energy system meet the requirement;
-load demand for converting electrical energy into thermal energy in the port integrated energy system;
η H -efficiency of conversion of electrical energy into thermal energy in the port integrated energy system.
Step 4.6: port comprehensive energy system energy break prevention constraint model
-maximum energy output of a photovoltaic unit in the port comprehensive energy system;
-maximum power of power supply and heat supply of internal combustion engine unit of port comprehensive energy system;
-electric and thermal load requirements that must be operated in the port integrated energy system.
Step 4.7: output constraint model of energy supply equipment of port comprehensive energy system
-the port photovoltaic unit and the fan unit supply the minimum power;
minimum power output and heat output of port internal combustion unitForce.
Step 5: converting the energy management problem into optimization iteration of the output state, the mismatch error state and the marginal cost of energy supply equipment, and solving and analyzing an optimization scheme based on a distributed optimization algorithm;
step 5.1: optimizing iteration aiming at output state of energy supply equipment
P k ,P k+1 -the kth and k+1 iterations of the power supply device of the ship port integrated energy system;
μ k -the kth marginal cost iteration of the ship port comprehensive energy system;
ΔP k -output mismatch of energy supply equipment of the ship port comprehensive energy system;
a, a ship port comprehensive energy system energy supply equipment connection matrix;
w-the energy supply equipment of the comprehensive energy system of the ship port is connected with the weight matrix.
Step 5.2: optimization iteration for energy supply equipment mismatch error
ΔP k+1 =WΔP k +AP k+1 -AP k
Step 5.3: optimizing iterations for marginal cost of energy supply equipment
μ k+1 =Wμ k +cΔP k+1
The method comprises the following steps: and 5, adopting the distributed optimization method provided in the step 5, and obtaining a group of optimization schemes after performing optimization scheduling every time. At the moment, judging by combining with actual physical constraint, and if the optimized scheme meets the physical constraint conditions of all the harbor comprehensive energy systems, obtaining the optimized scheduling scheme of the energy supply equipment; if all constraint conditions cannot be met, continuing optimization iteration until all constraint limits are met.
Fig. 5 is a diagram of output trace of power supply output of the ship integrated energy system in an embodiment of the invention, and fig. 6 is a diagram of output trace of heat supply output of the ship integrated energy system in an embodiment of the invention. The two diagrams show the energy optimization management of the ship comprehensive energy system in the departure state of the ship.
Because the energy management method provided by the invention is a distributed optimization method without leading characteristics, the output error can be converged to a constant value in the process of optimizing and dispatching. Fig. 7 is an output diagram of a power supply output error track of a ship port integrated energy system in an embodiment of the present invention, and fig. 8 is an output diagram of a power supply output track of the ship port integrated energy system in an embodiment of the present invention. In addition, fig. 9 is a diagram showing an output of a thermal output error trace of the ship-port integrated energy system according to an embodiment of the present invention, and fig. 10 is a diagram showing an output of a thermal output error trace of the ship-port integrated energy system according to an embodiment of the present invention.
According to the analysis of the simulation calculation example, the distributed energy management method for the comprehensive energy system of the ship port is cooperatively considered, and the economic benefit maximization of the system can be realized on the basis of meeting various physical constraints.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (3)

1. The distributed energy management method is realized based on a ship port comprehensive energy system, wherein the ship port comprehensive energy system comprises a ship comprehensive energy system and a port comprehensive energy system, and the ship comprehensive energy system comprises a ship-borne internal combustion engine electric and thermal comprehensive energy supply system, a ship-borne photovoltaic power supply system, a ship-borne energy storage controller, a ship direct current bus bar, a ship heating network and a plurality of power transmission systems; the port comprehensive energy system comprises a port internal combustion engine electric heating comprehensive energy supply system, a port photovoltaic power supply system, a port fan power supply system, a port energy storage controller, a port direct current bus bar, a port heating network and a plurality of power transmission systems; characterized in that the method comprises the steps of:
s1, judging whether a ship leans against port in the port at the moment, judging the ship operation state at the moment based on the ship leans against port condition, and determining a ship port comprehensive energy system energy management mode according to the ship operation state, wherein the ship port comprehensive energy system energy management mode comprises a port comprehensive energy system mode without ship leans against port, a ship comprehensive energy system mode without ship leans against port and a ship port comprehensive energy system mode with ship leans against port;
s2, collecting and summarizing the types and the quantity of energy supply equipment and load equipment contained in the ship comprehensive energy system and the port comprehensive energy system, analyzing and calculating the operation cost parameters of the energy supply equipment and the benefit parameters of the load equipment, and constructing an operation cost function of the energy supply equipment and an operation benefit function model of the load equipment;
s3, constructing a ship port comprehensive energy system energy management model by combining a ship port comprehensive energy system energy management mode based on the equipment operation cost function and the load equipment operation benefit function model;
s4, based on load data collected by a ship load center and a port load center, a physical constraint condition set is established in combination with actual ship navigation requirements and port operation requirements, and optimization iteration is carried out on the output state, the mismatch state and the marginal cost of energy supply equipment based on a distributed intelligent algorithm with tracking characteristics;
s5, carrying out optimized scheduling based on the distributed intelligent algorithm with the tracking characteristic, obtaining a group of optimized schemes after each optimized scheduling, judging by combining with actual physical constraint, and if the optimized schemes meet the physical constraint conditions of all the harbor comprehensive energy systems, obtaining the optimized scheduling schemes of the energy supply equipment; if all constraint conditions cannot be met, continuing optimization iteration until all constraint limits are met.
2. The distributed energy management method of a comprehensive energy system for a harbor in coordination with consideration of claim 1, wherein the method for determining whether there is a harbor by which a ship is present in the harbor, determining the operation status of the ship at this time based on the harbor by which the ship is present, and determining the energy management mode of the comprehensive energy system for the harbor of the ship based on the operation status of the ship comprises:
when the ship is in a departure state, the ship and the port comprehensive energy are mutually independent, and the energy management model optimization targets of the comprehensive energy source system aiming at the port and the ship can be respectively expressed as follows:
when the ship is in a harbor leaning state, the energy management model of the harbor integrated energy system can be expressed as:
wherein ,operating cost function for energy supply equipment in port comprehensive energy system>The load operation benefit function in the port comprehensive energy system; />For supplying comprehensive energy system of shipA facility operating cost function>For the load operation benefit function in the ship integrated energy system, < > in->The output state of energy supply equipment in the port comprehensive energy system is provided,load demand information in comprehensive energy system of port, < ->The lower limit of the output of energy supply equipment in the port comprehensive energy system is +.>The upper limit of the output of energy supply equipment in the port comprehensive energy system is +.>Is the lower load limit of the port comprehensive energy system, < ->Is the upper limit of load in the port comprehensive energy system.
3. The method for managing distributed energy of the port integrated energy system in cooperation with consideration of the ship according to claim 1, wherein the method for managing distributed energy of the port integrated energy system in cooperation with consideration of the ship and the port integrated energy system in cooperation with consideration of the ship by the port operation comprises the steps of establishing a set of physical constraint conditions based on load data collected by a ship load center and the port load center, combining actual ship navigation requirements and port operation requirements, optimizing and iterating output states, mismatch states and marginal costs of energy supply equipment based on a distributed intelligent algorithm with tracking characteristics, and optimizing and scheduling the model by using a distributed alternate multiplier algorithm when determining that the ship operation state is the port integrated energy system energy management mode of the ship during ship navigation and the port integrated energy system mode of the ship are considered in cooperation with consideration of the ship and the port operation, and specifically comprises the following steps:
s401, rewriting the voltage safety constraint of the ship port comprehensive energy system into a nonlinear coupling inequality cluster form by adopting a safety domain method, namely:
αP+βQ≤1
wherein alpha and beta are hyperplane coefficients, P is the active injection power of each node of the power grid in the comprehensive energy system, and Q is the reactive injection power of each node of the power grid in the comprehensive energy system;
s2: and (3) introducing a voltage deviation index, quantifying a voltage safety index of the ship port comprehensive energy system, and changing an inequality cluster into an equality constraint form, namely:
αP+βQ+ΔV=1,
wherein Δv represents a voltage offset index;
s3: based on a distributed alternating multiplier algorithm, optimizing and iterating the output state, mismatch error and marginal cost of energy supply equipment in the energy management of the ship port comprehensive energy system respectively, wherein the iterative expression of each variable is as follows:
ΔP k+1 =WΔP k +AP k+1 -AP k
μ k+1 =Wμ k +cΔP k+1
wherein ,Pk The kth output iteration of energy supply equipment for ship port comprehensive energy system, P k+1 K+1st output iteration, mu for energy supply equipment of ship port comprehensive energy system k For the kth marginal cost iteration of the ship port comprehensive energy system, delta P k The method comprises the steps of mismatching output of energy supply equipment of a ship port comprehensive energy system, connecting matrix of the energy supply equipment of the ship port comprehensive energy system, and connecting weight of the energy supply equipment of the ship port comprehensive energy systemA matrix.
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